MODEL/usda-vision
5
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Chore: rename api->camera-management-api and web->management-dashboard-web-app; update compose, ignore, README references

Browse Source
This commit is contained in:
Alireza Vaezi
2025-08-07 22:07:25 -04:00
parent 28dab3a366
commit fc2da16728
281 changed files with 19 additions and 19 deletions
Download Patch File Download Diff File Expand all files Collapse all files

95
camera-management-api/ai_agent/examples/demos/cv_grab.py Normal file
View File

@@ -0,0 +1,95 @@
#coding=utf-8
import cv2
import numpy as np
import mvsdk
import platform
def main_loop():
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
i = 0 if nDev == 1 else int(input("Select camera: "))
DevInfo = DevList[i]
print(DevInfo)
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光，曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
# 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer，用来存放ISP输出的图像
# 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer）
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
while (cv2.waitKey(1) & 0xFF) != ord('q'):
# 从相机取一帧图片
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# windows下取到的图像数据是上下颠倒的，以BMP格式存放。转换成opencv则需要上下翻转成正的
# linux下直接输出正的，不需要上下翻转
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据
# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
cv2.imshow("Press q to end", frame)
except mvsdk.CameraException as e:
if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
# 关闭相机
mvsdk.CameraUnInit(hCamera)
# 释放帧缓存
mvsdk.CameraAlignFree(pFrameBuffer)
def main():
try:
main_loop()
finally:
cv2.destroyAllWindows()
main()

127
camera-management-api/ai_agent/examples/demos/cv_grab2.py Normal file
View File

@@ -0,0 +1,127 @@
#coding=utf-8
import cv2
import numpy as np
import mvsdk
import platform
class Camera(object):
def __init__(self, DevInfo):
super(Camera, self).__init__()
self.DevInfo = DevInfo
self.hCamera = 0
self.cap = None
self.pFrameBuffer = 0
def open(self):
if self.hCamera > 0:
return True
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(self.DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return False
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer，用来存放ISP输出的图像
# 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer）
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光，曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
self.hCamera = hCamera
self.pFrameBuffer = pFrameBuffer
self.cap = cap
return True
def close(self):
if self.hCamera > 0:
mvsdk.CameraUnInit(self.hCamera)
self.hCamera = 0
mvsdk.CameraAlignFree(self.pFrameBuffer)
self.pFrameBuffer = 0
def grab(self):
# 从相机取一帧图片
hCamera = self.hCamera
pFrameBuffer = self.pFrameBuffer
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# windows下取到的图像数据是上下颠倒的，以BMP格式存放。转换成opencv则需要上下翻转成正的
# linux下直接输出正的，不需要上下翻转
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据
# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
return frame
except mvsdk.CameraException as e:
if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
return None
def main_loop():
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
cams = []
for i in map(lambda x: int(x), raw_input("Select cameras: ").split()):
cam = Camera(DevList[i])
if cam.open():
cams.append(cam)
while (cv2.waitKey(1) & 0xFF) != ord('q'):
for cam in cams:
frame = cam.grab()
if frame is not None:
frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
cv2.imshow("{} Press q to end".format(cam.DevInfo.GetFriendlyName()), frame)
for cam in cams:
cam.close()
def main():
try:
main_loop()
finally:
cv2.destroyAllWindows()
main()

110
camera-management-api/ai_agent/examples/demos/cv_grab_callback.py Normal file
View File

@@ -0,0 +1,110 @@
#coding=utf-8
import cv2
import numpy as np
import mvsdk
import time
import platform
class App(object):
def __init__(self):
super(App, self).__init__()
self.pFrameBuffer = 0
self.quit = False
def main(self):
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
i = 0 if nDev == 1 else int(input("Select camera: "))
DevInfo = DevList[i]
print(DevInfo)
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光，曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
# 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer，用来存放ISP输出的图像
# 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer）
self.pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# 设置采集回调函数
self.quit = False
mvsdk.CameraSetCallbackFunction(hCamera, self.GrabCallback, 0)
# 等待退出
while not self.quit:
time.sleep(0.1)
# 关闭相机
mvsdk.CameraUnInit(hCamera)
# 释放帧缓存
mvsdk.CameraAlignFree(self.pFrameBuffer)
@mvsdk.method(mvsdk.CAMERA_SNAP_PROC)
def GrabCallback(self, hCamera, pRawData, pFrameHead, pContext):
FrameHead = pFrameHead[0]
pFrameBuffer = self.pFrameBuffer
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# windows下取到的图像数据是上下颠倒的，以BMP格式存放。转换成opencv则需要上下翻转成正的
# linux下直接输出正的，不需要上下翻转
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据
# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
cv2.imshow("Press q to end", frame)
if (cv2.waitKey(1) & 0xFF) == ord('q'):
self.quit = True
def main():
try:
app = App()
app.main()
finally:
cv2.destroyAllWindows()
main()

117
camera-management-api/ai_agent/examples/demos/demo_mqtt_console.py Normal file
View File

@@ -0,0 +1,117 @@
#!/usr/bin/env python3
"""
Demo script to show MQTT console logging in action.
This script demonstrates the enhanced MQTT logging by starting just the MQTT client
and showing the console output.
"""
import sys
import os
import time
import signal
import logging
# Add the current directory to Python path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from usda_vision_system.core.config import Config
from usda_vision_system.core.state_manager import StateManager
from usda_vision_system.core.events import EventSystem
from usda_vision_system.core.logging_config import setup_logging
from usda_vision_system.mqtt.client import MQTTClient
def signal_handler(signum, frame):
"""Handle Ctrl+C gracefully"""
print("\n🛑 Stopping MQTT demo...")
sys.exit(0)
def main():
"""Main demo function"""
print("🚀 MQTT Console Logging Demo")
print("=" * 50)
print()
print("This demo shows enhanced MQTT console logging.")
print("You'll see colorful console output for MQTT events:")
print(" 🔗 Connection status")
print(" 📋 Topic subscriptions")
print(" 📡 Incoming messages")
print(" ⚠️ Disconnections and errors")
print()
print("Press Ctrl+C to stop the demo.")
print("=" * 50)
# Setup signal handler
signal.signal(signal.SIGINT, signal_handler)
try:
# Setup logging with INFO level for console visibility
setup_logging(log_level="INFO", log_file="mqtt_demo.log")
# Load configuration
config = Config()
# Initialize components
state_manager = StateManager()
event_system = EventSystem()
# Create MQTT client
mqtt_client = MQTTClient(config, state_manager, event_system)
print(f"\n🔧 Configuration:")
print(f" Broker: {config.mqtt.broker_host}:{config.mqtt.broker_port}")
print(f" Topics: {list(config.mqtt.topics.values())}")
print()
# Start MQTT client
print("🚀 Starting MQTT client...")
if mqtt_client.start():
print("✅ MQTT client started successfully!")
print("\n👀 Watching for MQTT messages... (Press Ctrl+C to stop)")
print("-" * 50)
# Keep running and show periodic status
start_time = time.time()
last_status_time = start_time
while True:
time.sleep(1)
# Show status every 30 seconds
current_time = time.time()
if current_time - last_status_time >= 30:
status = mqtt_client.get_status()
uptime = current_time - start_time
print(f"\n📊 Status Update (uptime: {uptime:.0f}s):")
print(f" Connected: {status['connected']}")
print(f" Messages: {status['message_count']}")
print(f" Errors: {status['error_count']}")
if status['last_message_time']:
print(f" Last Message: {status['last_message_time']}")
print("-" * 50)
last_status_time = current_time
else:
print("❌ Failed to start MQTT client")
print(" Check your MQTT broker configuration in config.json")
print(" Make sure the broker is running and accessible")
except KeyboardInterrupt:
print("\n🛑 Demo stopped by user")
except Exception as e:
print(f"\n❌ Error: {e}")
finally:
# Cleanup
try:
if 'mqtt_client' in locals():
mqtt_client.stop()
print("🔌 MQTT client stopped")
except:
pass
print("\n👋 Demo completed!")
print("\n💡 To run the full system with this enhanced logging:")
print(" python main.py")
if __name__ == "__main__":
main()

111
camera-management-api/ai_agent/examples/demos/grab.py Normal file
View File

@@ -0,0 +1,111 @@
#coding=utf-8
import mvsdk
def main():
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
i = 0 if nDev == 1 else int(input("Select camera: "))
DevInfo = DevList[i]
print(DevInfo)
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
PrintCapbility(cap)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光，曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
# 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer，用来存放ISP输出的图像
# 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer）
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# 从相机取一帧图片
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据
# 该示例中我们只是把图片保存到硬盘文件中
status = mvsdk.CameraSaveImage(hCamera, "./grab.bmp", pFrameBuffer, FrameHead, mvsdk.FILE_BMP, 100)
if status == mvsdk.CAMERA_STATUS_SUCCESS:
print("Save image successfully. image_size = {}X{}".format(FrameHead.iWidth, FrameHead.iHeight) )
else:
print("Save image failed. err={}".format(status) )
except mvsdk.CameraException as e:
print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
# 关闭相机
mvsdk.CameraUnInit(hCamera)
# 释放帧缓存
mvsdk.CameraAlignFree(pFrameBuffer)
def PrintCapbility(cap):
for i in range(cap.iTriggerDesc):
desc = cap.pTriggerDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iImageSizeDesc):
desc = cap.pImageSizeDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iClrTempDesc):
desc = cap.pClrTempDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iMediaTypeDesc):
desc = cap.pMediaTypeDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iFrameSpeedDesc):
desc = cap.pFrameSpeedDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iPackLenDesc):
desc = cap.pPackLenDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iPresetLut):
desc = cap.pPresetLutDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iAeAlmSwDesc):
desc = cap.pAeAlmSwDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iAeAlmHdDesc):
desc = cap.pAeAlmHdDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iBayerDecAlmSwDesc):
desc = cap.pBayerDecAlmSwDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iBayerDecAlmHdDesc):
desc = cap.pBayerDecAlmHdDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
main()

234
camera-management-api/ai_agent/examples/demos/mqtt_publisher_test.py Normal file
View File

@@ -0,0 +1,234 @@
#!/usr/bin/env python3
"""
MQTT Publisher Test Script for USDA Vision Camera System
This script allows you to manually publish test messages to the MQTT topics
to simulate machine state changes for testing purposes.
Usage:
python mqtt_publisher_test.py
The script provides an interactive menu to:
1. Send 'on' state to vibratory conveyor
2. Send 'off' state to vibratory conveyor
3. Send 'on' state to blower separator
4. Send 'off' state to blower separator
5. Send custom message
"""
import paho.mqtt.client as mqtt
import time
import sys
from datetime import datetime
# MQTT Configuration (matching your system config)
MQTT_BROKER_HOST = "192.168.1.110"
MQTT_BROKER_PORT = 1883
MQTT_USERNAME = None # Set if your broker requires authentication
MQTT_PASSWORD = None # Set if your broker requires authentication
# Topics (from your config.json)
MQTT_TOPICS = {
"vibratory_conveyor": "vision/vibratory_conveyor/state",
"blower_separator": "vision/blower_separator/state"
}
class MQTTPublisher:
def __init__(self):
self.client = None
self.connected = False
def setup_client(self):
"""Setup MQTT client"""
try:
self.client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION1)
self.client.on_connect = self.on_connect
self.client.on_disconnect = self.on_disconnect
self.client.on_publish = self.on_publish
if MQTT_USERNAME and MQTT_PASSWORD:
self.client.username_pw_set(MQTT_USERNAME, MQTT_PASSWORD)
return True
except Exception as e:
print(f"❌ Error setting up MQTT client: {e}")
return False
def connect(self):
"""Connect to MQTT broker"""
try:
print(f"🔗 Connecting to MQTT broker at {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}...")
self.client.connect(MQTT_BROKER_HOST, MQTT_BROKER_PORT, 60)
self.client.loop_start() # Start background loop
# Wait for connection
timeout = 10
start_time = time.time()
while not self.connected and (time.time() - start_time) < timeout:
time.sleep(0.1)
return self.connected
except Exception as e:
print(f"❌ Failed to connect to MQTT broker: {e}")
return False
def disconnect(self):
"""Disconnect from MQTT broker"""
if self.client:
self.client.loop_stop()
self.client.disconnect()
def on_connect(self, client, userdata, flags, rc):
"""Callback when client connects"""
if rc == 0:
self.connected = True
print(f"✅ Connected to MQTT broker successfully!")
else:
self.connected = False
print(f"❌ Connection failed with return code {rc}")
def on_disconnect(self, client, userdata, rc):
"""Callback when client disconnects"""
self.connected = False
print(f"🔌 Disconnected from MQTT broker")
def on_publish(self, client, userdata, mid):
"""Callback when message is published"""
print(f"📤 Message published successfully (mid: {mid})")
def publish_message(self, topic, payload):
"""Publish a message to a topic"""
if not self.connected:
print("❌ Not connected to MQTT broker")
return False
try:
timestamp = datetime.now().strftime('%H:%M:%S.%f')[:-3]
print(f"📡 [{timestamp}] Publishing message:")
print(f" 📍 Topic: {topic}")
print(f" 📄 Payload: '{payload}'")
result = self.client.publish(topic, payload)
if result.rc == mqtt.MQTT_ERR_SUCCESS:
print(f"✅ Message queued for publishing")
return True
else:
print(f"❌ Failed to publish message (error: {result.rc})")
return False
except Exception as e:
print(f"❌ Error publishing message: {e}")
return False
def show_menu(self):
"""Show interactive menu"""
print("\n" + "=" * 50)
print("🎛️ MQTT PUBLISHER TEST MENU")
print("=" * 50)
print("1. Send 'on' to vibratory conveyor")
print("2. Send 'off' to vibratory conveyor")
print("3. Send 'on' to blower separator")
print("4. Send 'off' to blower separator")
print("5. Send custom message")
print("6. Show current topics")
print("0. Exit")
print("-" * 50)
def handle_menu_choice(self, choice):
"""Handle menu selection"""
if choice == "1":
self.publish_message(MQTT_TOPICS["vibratory_conveyor"], "on")
elif choice == "2":
self.publish_message(MQTT_TOPICS["vibratory_conveyor"], "off")
elif choice == "3":
self.publish_message(MQTT_TOPICS["blower_separator"], "on")
elif choice == "4":
self.publish_message(MQTT_TOPICS["blower_separator"], "off")
elif choice == "5":
self.custom_message()
elif choice == "6":
self.show_topics()
elif choice == "0":
return False
else:
print("❌ Invalid choice. Please try again.")
return True
def custom_message(self):
"""Send custom message"""
print("\n📝 Custom Message")
print("Available topics:")
for i, (name, topic) in enumerate(MQTT_TOPICS.items(), 1):
print(f" {i}. {name}: {topic}")
try:
topic_choice = input("Select topic (1-2): ").strip()
if topic_choice == "1":
topic = MQTT_TOPICS["vibratory_conveyor"]
elif topic_choice == "2":
topic = MQTT_TOPICS["blower_separator"]
else:
print("❌ Invalid topic choice")
return
payload = input("Enter message payload: ").strip()
if payload:
self.publish_message(topic, payload)
else:
print("❌ Empty payload, message not sent")
except KeyboardInterrupt:
print("\n❌ Cancelled")
def show_topics(self):
"""Show configured topics"""
print("\n📋 Configured Topics:")
for name, topic in MQTT_TOPICS.items():
print(f" 🏭 {name}: {topic}")
def run(self):
"""Main interactive loop"""
print("📤 MQTT Publisher Test")
print("=" * 50)
print(f"🎯 Broker: {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}")
if not self.setup_client():
return False
if not self.connect():
print("❌ Failed to connect to MQTT broker")
return False
try:
while True:
self.show_menu()
choice = input("Enter your choice: ").strip()
if not self.handle_menu_choice(choice):
break
except KeyboardInterrupt:
print("\n\n🛑 Interrupted by user")
except Exception as e:
print(f"\n❌ Error: {e}")
finally:
self.disconnect()
print("👋 Goodbye!")
return True
def main():
"""Main function"""
publisher = MQTTPublisher()
try:
publisher.run()
except Exception as e:
print(f"❌ Unexpected error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()

242
camera-management-api/ai_agent/examples/demos/mqtt_test.py Normal file
View File

@@ -0,0 +1,242 @@
#!/usr/bin/env python3
"""
MQTT Test Script for USDA Vision Camera System
This script tests MQTT message reception by connecting to the broker
and listening for messages on the configured topics.
Usage:
python mqtt_test.py
The script will:
1. Connect to the MQTT broker
2. Subscribe to all configured topics
3. Display received messages with timestamps
4. Show connection status and statistics
"""
import paho.mqtt.client as mqtt
import time
import json
import signal
import sys
from datetime import datetime
from typing import Dict, Optional
# MQTT Configuration (matching your system config)
MQTT_BROKER_HOST = "192.168.1.110"
MQTT_BROKER_PORT = 1883
MQTT_USERNAME = None # Set if your broker requires authentication
MQTT_PASSWORD = None # Set if your broker requires authentication
# Topics to monitor (from your config.json)
MQTT_TOPICS = {
"vibratory_conveyor": "vision/vibratory_conveyor/state",
"blower_separator": "vision/blower_separator/state"
}
class MQTTTester:
def __init__(self):
self.client: Optional[mqtt.Client] = None
self.connected = False
self.message_count = 0
self.start_time = None
self.last_message_time = None
self.received_messages = []
def setup_client(self):
"""Setup MQTT client with callbacks"""
try:
# Create MQTT client
self.client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION1)
# Set callbacks
self.client.on_connect = self.on_connect
self.client.on_disconnect = self.on_disconnect
self.client.on_message = self.on_message
self.client.on_subscribe = self.on_subscribe
# Set authentication if provided
if MQTT_USERNAME and MQTT_PASSWORD:
self.client.username_pw_set(MQTT_USERNAME, MQTT_PASSWORD)
print(f"🔐 Using authentication: {MQTT_USERNAME}")
return True
except Exception as e:
print(f"❌ Error setting up MQTT client: {e}")
return False
def connect(self):
"""Connect to MQTT broker"""
try:
print(f"🔗 Connecting to MQTT broker at {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}...")
self.client.connect(MQTT_BROKER_HOST, MQTT_BROKER_PORT, 60)
return True
except Exception as e:
print(f"❌ Failed to connect to MQTT broker: {e}")
return False
def on_connect(self, client, userdata, flags, rc):
"""Callback when client connects to broker"""
if rc == 0:
self.connected = True
self.start_time = datetime.now()
print(f"✅ Successfully connected to MQTT broker!")
print(f"📅 Connection time: {self.start_time.strftime('%Y-%m-%d %H:%M:%S')}")
print()
# Subscribe to all topics
print("📋 Subscribing to topics:")
for machine_name, topic in MQTT_TOPICS.items():
result, mid = client.subscribe(topic)
if result == mqtt.MQTT_ERR_SUCCESS:
print(f" ✅ {machine_name}: {topic}")
else:
print(f" ❌ {machine_name}: {topic} (error: {result})")
print()
print("🎧 Listening for MQTT messages...")
print(" (Manually turn machines on/off to trigger messages)")
print(" (Press Ctrl+C to stop)")
print("-" * 60)
else:
self.connected = False
print(f"❌ Connection failed with return code {rc}")
print(" Return codes:")
print(" 0: Connection successful")
print(" 1: Connection refused - incorrect protocol version")
print(" 2: Connection refused - invalid client identifier")
print(" 3: Connection refused - server unavailable")
print(" 4: Connection refused - bad username or password")
print(" 5: Connection refused - not authorised")
def on_disconnect(self, client, userdata, rc):
"""Callback when client disconnects from broker"""
self.connected = False
if rc != 0:
print(f"🔌 Unexpected disconnection from MQTT broker (code: {rc})")
else:
print(f"🔌 Disconnected from MQTT broker")
def on_subscribe(self, client, userdata, mid, granted_qos):
"""Callback when subscription is confirmed"""
print(f"📋 Subscription confirmed (mid: {mid}, QoS: {granted_qos})")
def on_message(self, client, userdata, msg):
"""Callback when a message is received"""
try:
# Decode message
topic = msg.topic
payload = msg.payload.decode("utf-8").strip()
timestamp = datetime.now()
# Update statistics
self.message_count += 1
self.last_message_time = timestamp
# Find machine name
machine_name = "unknown"
for name, configured_topic in MQTT_TOPICS.items():
if topic == configured_topic:
machine_name = name
break
# Store message
message_data = {
"timestamp": timestamp,
"topic": topic,
"machine": machine_name,
"payload": payload,
"message_number": self.message_count
}
self.received_messages.append(message_data)
# Display message
time_str = timestamp.strftime('%H:%M:%S.%f')[:-3] # Include milliseconds
print(f"📡 [{time_str}] Message #{self.message_count}")
print(f" 🏭 Machine: {machine_name}")
print(f" 📍 Topic: {topic}")
print(f" 📄 Payload: '{payload}'")
print(f" 📊 Total messages: {self.message_count}")
print("-" * 60)
except Exception as e:
print(f"❌ Error processing message: {e}")
def show_statistics(self):
"""Show connection and message statistics"""
print("\n" + "=" * 60)
print("📊 MQTT TEST STATISTICS")
print("=" * 60)
if self.start_time:
runtime = datetime.now() - self.start_time
print(f"⏱️ Runtime: {runtime}")
print(f"🔗 Connected: {'Yes' if self.connected else 'No'}")
print(f"📡 Messages received: {self.message_count}")
if self.last_message_time:
print(f"🕐 Last message: {self.last_message_time.strftime('%Y-%m-%d %H:%M:%S')}")
if self.received_messages:
print(f"\n📋 Message Summary:")
for msg in self.received_messages[-5:]: # Show last 5 messages
time_str = msg["timestamp"].strftime('%H:%M:%S')
print(f" [{time_str}] {msg['machine']}: {msg['payload']}")
print("=" * 60)
def run(self):
"""Main test loop"""
print("🧪 MQTT Message Reception Test")
print("=" * 60)
print(f"🎯 Broker: {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}")
print(f"📋 Topics: {list(MQTT_TOPICS.values())}")
print()
# Setup signal handler for graceful shutdown
def signal_handler(sig, frame):
print(f"\n\n🛑 Received interrupt signal, shutting down...")
self.show_statistics()
if self.client and self.connected:
self.client.disconnect()
sys.exit(0)
signal.signal(signal.SIGINT, signal_handler)
# Setup and connect
if not self.setup_client():
return False
if not self.connect():
return False
# Start the client loop
try:
self.client.loop_forever()
except KeyboardInterrupt:
pass
except Exception as e:
print(f"❌ Error in main loop: {e}")
return True
def main():
"""Main function"""
tester = MQTTTester()
try:
success = tester.run()
if not success:
print("❌ Test failed")
sys.exit(1)
except Exception as e:
print(f"❌ Unexpected error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()

4
camera-management-api/ai_agent/examples/demos/readme.txt Normal file
View File

@@ -0,0 +1,4 @@
mvsdk.py: 相机SDK接口库（参考文档 WindowsSDK安装目录\Document\MVSDK_API_CHS.chm）
grab.py: 使用SDK采集图片，并保存到硬盘文件
cv_grab.py: 使用SDK采集图片，转换为opencv的图像格式

607
camera-management-api/ai_agent/examples/notebooks/camera_status_test.ipynb Normal file
View File

@@ -0,0 +1,607 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "intro",
"metadata": {},
"source": [
"# Camera Status and Availability Testing\n",
"\n",
"This notebook tests various methods to check camera status and availability before attempting to capture images.\n",
"\n",
"## Key Functions to Test:\n",
"- `CameraIsOpened()` - Check if camera is already opened by another process\n",
"- `CameraInit()` - Try to initialize and catch specific error codes\n",
"- `CameraGetImageBuffer()` - Test actual image capture with timeout\n",
"- Error code analysis for different failure scenarios"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "imports",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Libraries imported successfully!\n",
"Platform: Linux\n"
]
}
],
"source": [
"# Import required libraries\n",
"import os\n",
"import sys\n",
"import time\n",
"import numpy as np\n",
"import cv2\n",
"import platform\n",
"from datetime import datetime\n",
"\n",
"# Add the python demo directory to path to import mvsdk\n",
"sys.path.append('../python demo')\n",
"import mvsdk\n",
"\n",
"print(\"Libraries imported successfully!\")\n",
"print(f\"Platform: {platform.system()}\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "error-codes",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Relevant Camera Status Error Codes:\n",
"========================================\n",
"CAMERA_STATUS_SUCCESS: 0\n",
"CAMERA_STATUS_DEVICE_IS_OPENED: -18\n",
"CAMERA_STATUS_DEVICE_IS_CLOSED: -19\n",
"CAMERA_STATUS_ACCESS_DENY: -45\n",
"CAMERA_STATUS_DEVICE_LOST: -38\n",
"CAMERA_STATUS_TIME_OUT: -12\n",
"CAMERA_STATUS_BUSY: -28\n",
"CAMERA_STATUS_NO_DEVICE_FOUND: -16\n"
]
}
],
"source": [
"# Let's examine the relevant error codes from the SDK\n",
"print(\"Relevant Camera Status Error Codes:\")\n",
"print(\"=\" * 40)\n",
"print(f\"CAMERA_STATUS_SUCCESS: {mvsdk.CAMERA_STATUS_SUCCESS}\")\n",
"print(f\"CAMERA_STATUS_DEVICE_IS_OPENED: {mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED}\")\n",
"print(f\"CAMERA_STATUS_DEVICE_IS_CLOSED: {mvsdk.CAMERA_STATUS_DEVICE_IS_CLOSED}\")\n",
"print(f\"CAMERA_STATUS_ACCESS_DENY: {mvsdk.CAMERA_STATUS_ACCESS_DENY}\")\n",
"print(f\"CAMERA_STATUS_DEVICE_LOST: {mvsdk.CAMERA_STATUS_DEVICE_LOST}\")\n",
"print(f\"CAMERA_STATUS_TIME_OUT: {mvsdk.CAMERA_STATUS_TIME_OUT}\")\n",
"print(f\"CAMERA_STATUS_BUSY: {mvsdk.CAMERA_STATUS_BUSY}\")\n",
"print(f\"CAMERA_STATUS_NO_DEVICE_FOUND: {mvsdk.CAMERA_STATUS_NO_DEVICE_FOUND}\")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "status-functions",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Camera Availability Check\n",
"==============================\n",
"✓ SDK initialized successfully\n",
"✓ Found 2 camera(s)\n",
" 0: Blower-Yield-Cam (192.168.1.165-192.168.1.54)\n",
" 1: Cracker-Cam (192.168.1.167-192.168.1.54)\n",
"\n",
"Testing camera 0: Blower-Yield-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"Testing camera 1: Cracker-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"Results for 2 cameras:\n",
" Camera 0: AVAILABLE\n",
" Camera 1: AVAILABLE\n"
]
}
],
"source": [
"def check_camera_availability():\n",
" \"\"\"\n",
" Comprehensive camera availability check\n",
" \"\"\"\n",
" print(\"Camera Availability Check\")\n",
" print(\"=\" * 30)\n",
" \n",
" # Step 1: Initialize SDK\n",
" try:\n",
" mvsdk.CameraSdkInit(1)\n",
" print(\"✓ SDK initialized successfully\")\n",
" except Exception as e:\n",
" print(f\"✗ SDK initialization failed: {e}\")\n",
" return None, \"SDK_INIT_FAILED\"\n",
" \n",
" # Step 2: Enumerate cameras\n",
" try:\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" nDev = len(DevList)\n",
" print(f\"✓ Found {nDev} camera(s)\")\n",
" \n",
" if nDev < 1:\n",
" print(\"✗ No cameras detected\")\n",
" return None, \"NO_CAMERAS\"\n",
" \n",
" for i, DevInfo in enumerate(DevList):\n",
" print(f\" {i}: {DevInfo.GetFriendlyName()} ({DevInfo.GetPortType()})\")\n",
" \n",
" except Exception as e:\n",
" print(f\"✗ Camera enumeration failed: {e}\")\n",
" return None, \"ENUM_FAILED\"\n",
" \n",
" # Step 3: Check all cameras\n",
" camera_results = []\n",
" \n",
" for i, DevInfo in enumerate(DevList):\n",
" print(f\"\\nTesting camera {i}: {DevInfo.GetFriendlyName()}\")\n",
" \n",
" # Check if camera is already opened\n",
" try:\n",
" is_opened = mvsdk.CameraIsOpened(DevInfo)\n",
" if is_opened:\n",
" print(\"✗ Camera is already opened by another process\")\n",
" camera_results.append((DevInfo, \"ALREADY_OPENED\"))\n",
" continue\n",
" else:\n",
" print(\"✓ Camera is available (not opened by another process)\")\n",
" except Exception as e:\n",
" print(f\"⚠ Could not check if camera is opened: {e}\")\n",
" \n",
" # Try to initialize camera\n",
" try:\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" print(\"✓ Camera initialized successfully\")\n",
" camera_results.append((hCamera, \"AVAILABLE\"))\n",
" \n",
" # Close the camera after testing\n",
" try:\n",
" mvsdk.CameraUnInit(hCamera)\n",
" print(\"✓ Camera closed after testing\")\n",
" except Exception as e:\n",
" print(f\"⚠ Warning: Could not close camera: {e}\")\n",
" \n",
" except mvsdk.CameraException as e:\n",
" print(f\"✗ Camera initialization failed: {e.error_code} - {e.message}\")\n",
" \n",
" # Analyze specific error codes\n",
" if e.error_code == mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED:\n",
" camera_results.append((DevInfo, \"DEVICE_OPENED\"))\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_ACCESS_DENY:\n",
" camera_results.append((DevInfo, \"ACCESS_DENIED\"))\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_DEVICE_LOST:\n",
" camera_results.append((DevInfo, \"DEVICE_LOST\"))\n",
" else:\n",
" camera_results.append((DevInfo, f\"INIT_ERROR_{e.error_code}\"))\n",
" \n",
" except Exception as e:\n",
" print(f\"✗ Unexpected error during initialization: {e}\")\n",
" camera_results.append((DevInfo, \"UNEXPECTED_ERROR\"))\n",
" \n",
" return camera_results\n",
"\n",
"# Test the function\n",
"camera_results = check_camera_availability()\n",
"print(f\"\\nResults for {len(camera_results)} cameras:\")\n",
"for i, (camera_info, status) in enumerate(camera_results):\n",
" if hasattr(camera_info, 'GetFriendlyName'):\n",
" name = camera_info.GetFriendlyName()\n",
" else:\n",
" name = f\"Camera {i}\"\n",
" print(f\" {name}: {status}\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "test-capture-availability",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Testing capture readiness for 2 available camera(s):\n",
"\n",
"Testing camera 0 capture readiness...\n",
"\n",
"Testing Camera Capture Readiness\n",
"===================================\n",
"✓ Camera capabilities retrieved\n",
"✓ Camera type: Color\n",
"✓ Basic camera configuration set\n",
"✓ Camera started\n",
"✓ Frame buffer allocated\n",
"\n",
"Testing image capture...\n",
"✓ Image captured successfully: 1280x1024\n",
"✓ Image processed and buffer released\n",
"✓ Cleanup completed\n",
"Capture Ready for Blower-Yield-Cam: True\n",
"\n",
"Testing camera 1 capture readiness...\n",
"\n",
"Testing Camera Capture Readiness\n",
"===================================\n",
"✓ Camera capabilities retrieved\n",
"✓ Camera type: Color\n",
"✓ Basic camera configuration set\n",
"✓ Camera started\n",
"✓ Frame buffer allocated\n",
"\n",
"Testing image capture...\n",
"✓ Image captured successfully: 1280x1024\n",
"✓ Image processed and buffer released\n",
"✓ Cleanup completed\n",
"Capture Ready for Cracker-Cam: True\n"
]
}
],
"source": [
"def test_camera_capture_readiness(hCamera):\n",
" \"\"\"\n",
" Test if camera is ready for image capture\n",
" \"\"\"\n",
" if not isinstance(hCamera, int):\n",
" print(\"Camera not properly initialized, skipping capture test\")\n",
" return False\n",
" \n",
" print(\"\\nTesting Camera Capture Readiness\")\n",
" print(\"=\" * 35)\n",
" \n",
" try:\n",
" # Get camera capabilities\n",
" cap = mvsdk.CameraGetCapability(hCamera)\n",
" print(\"✓ Camera capabilities retrieved\")\n",
" \n",
" # Check camera type\n",
" monoCamera = (cap.sIspCapacity.bMonoSensor != 0)\n",
" print(f\"✓ Camera type: {'Monochrome' if monoCamera else 'Color'}\")\n",
" \n",
" # Set basic configuration\n",
" if monoCamera:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)\n",
" else:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)\n",
" \n",
" mvsdk.CameraSetTriggerMode(hCamera, 0) # Continuous mode\n",
" mvsdk.CameraSetAeState(hCamera, 0) # Manual exposure\n",
" mvsdk.CameraSetExposureTime(hCamera, 5000) # 5ms exposure\n",
" print(\"✓ Basic camera configuration set\")\n",
" \n",
" # Start camera\n",
" mvsdk.CameraPlay(hCamera)\n",
" print(\"✓ Camera started\")\n",
" \n",
" # Allocate buffer\n",
" FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)\n",
" pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)\n",
" print(\"✓ Frame buffer allocated\")\n",
" \n",
" # Test image capture with short timeout\n",
" print(\"\\nTesting image capture...\")\n",
" try:\n",
" pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 1000) # 1 second timeout\n",
" print(f\"✓ Image captured successfully: {FrameHead.iWidth}x{FrameHead.iHeight}\")\n",
" \n",
" # Process and release\n",
" mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)\n",
" mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)\n",
" print(\"✓ Image processed and buffer released\")\n",
" \n",
" capture_success = True\n",
" \n",
" except mvsdk.CameraException as e:\n",
" print(f\"✗ Image capture failed: {e.error_code} - {e.message}\")\n",
" \n",
" if e.error_code == mvsdk.CAMERA_STATUS_TIME_OUT:\n",
" print(\" → Camera timeout - may be busy or not streaming\")\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_DEVICE_LOST:\n",
" print(\" → Device lost - camera disconnected\")\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_BUSY:\n",
" print(\" → Camera busy - may be used by another process\")\n",
" \n",
" capture_success = False\n",
" \n",
" # Cleanup\n",
" mvsdk.CameraAlignFree(pFrameBuffer)\n",
" print(\"✓ Cleanup completed\")\n",
" \n",
" return capture_success\n",
" \n",
" except Exception as e:\n",
" print(f\"✗ Capture readiness test failed: {e}\")\n",
" return False\n",
"\n",
"# Test capture readiness for available cameras\n",
"available_cameras = [(cam, stat) for cam, stat in camera_results if stat == \"AVAILABLE\"]\n",
"\n",
"if available_cameras:\n",
" print(f\"\\nTesting capture readiness for {len(available_cameras)} available camera(s):\")\n",
" for i, (camera_handle, status) in enumerate(available_cameras):\n",
" if hasattr(camera_handle, 'GetFriendlyName'):\n",
" # This shouldn't happen for AVAILABLE cameras, but just in case\n",
" print(f\"\\nCamera {i}: Invalid handle\")\n",
" continue\n",
" \n",
" print(f\"\\nTesting camera {i} capture readiness...\")\n",
" # Re-initialize the camera for testing since we closed it earlier\n",
" try:\n",
" # Find the camera info from the original results\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" if i < len(DevList):\n",
" DevInfo = DevList[i]\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" capture_ready = test_camera_capture_readiness(hCamera)\n",
" print(f\"Capture Ready for {DevInfo.GetFriendlyName()}: {capture_ready}\")\n",
" mvsdk.CameraUnInit(hCamera)\n",
" else:\n",
" print(f\"Could not re-initialize camera {i}\")\n",
" except Exception as e:\n",
" print(f\"Error testing camera {i}: {e}\")\n",
"else:\n",
" print(\"\\nNo cameras are available for capture testing\")\n",
" print(\"Camera statuses:\")\n",
" for i, (cam_info, status) in enumerate(camera_results):\n",
" if hasattr(cam_info, 'GetFriendlyName'):\n",
" name = cam_info.GetFriendlyName()\n",
" else:\n",
" name = f\"Camera {i}\"\n",
" print(f\" {name}: {status}\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "comprehensive-check",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"COMPREHENSIVE CAMERA CHECK\n",
"==================================================\n",
"Camera Availability Check\n",
"==============================\n",
"✓ SDK initialized successfully\n",
"✓ Found 2 camera(s)\n",
" 0: Blower-Yield-Cam (192.168.1.165-192.168.1.54)\n",
" 1: Cracker-Cam (192.168.1.167-192.168.1.54)\n",
"\n",
"Testing camera 0: Blower-Yield-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"Testing camera 1: Cracker-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"==================================================\n",
"FINAL RESULTS:\n",
"Camera Available: False\n",
"Capture Ready: False\n",
"Status: (42, 'AVAILABLE')\n",
"==================================================\n"
]
}
],
"source": [
"def comprehensive_camera_check():\n",
" \"\"\"\n",
" Complete camera availability and readiness check\n",
" Returns: (available, ready, handle_or_info, status_message)\n",
" \"\"\"\n",
" # Check availability\n",
" handle_or_info, status = check_camera_availability()\n",
" \n",
" available = status == \"AVAILABLE\"\n",
" ready = False\n",
" \n",
" if available:\n",
" # Test capture readiness\n",
" ready = test_camera_capture_readiness(handle_or_info)\n",
" \n",
" # Close camera after testing\n",
" try:\n",
" mvsdk.CameraUnInit(handle_or_info)\n",
" print(\"✓ Camera closed after testing\")\n",
" except:\n",
" pass\n",
" \n",
" return available, ready, handle_or_info, status\n",
"\n",
"# Run comprehensive check\n",
"print(\"\\n\" + \"=\" * 50)\n",
"print(\"COMPREHENSIVE CAMERA CHECK\")\n",
"print(\"=\" * 50)\n",
"\n",
"available, ready, info, status_msg = comprehensive_camera_check()\n",
"\n",
"print(\"\\n\" + \"=\" * 50)\n",
"print(\"FINAL RESULTS:\")\n",
"print(f\"Camera Available: {available}\")\n",
"print(f\"Capture Ready: {ready}\")\n",
"print(f\"Status: {status_msg}\")\n",
"print(\"=\" * 50)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "status-check-function",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Testing Simple Camera Ready Check:\n",
"========================================\n",
"Ready: True\n",
"Message: Camera 'Blower-Yield-Cam' is ready for capture\n",
"Camera: Blower-Yield-Cam\n"
]
}
],
"source": [
"def is_camera_ready_for_capture():\n",
" \"\"\"\n",
" Simple function to check if camera is ready for capture.\n",
" Returns: (ready: bool, message: str, camera_info: object or None)\n",
" \n",
" This is the function you can use in your main capture script.\n",
" \"\"\"\n",
" try:\n",
" # Initialize SDK\n",
" mvsdk.CameraSdkInit(1)\n",
" \n",
" # Enumerate cameras\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" if len(DevList) < 1:\n",
" return False, \"No cameras found\", None\n",
" \n",
" DevInfo = DevList[0]\n",
" \n",
" # Check if already opened\n",
" try:\n",
" if mvsdk.CameraIsOpened(DevInfo):\n",
" return False, f\"Camera '{DevInfo.GetFriendlyName()}' is already opened by another process\", DevInfo\n",
" except:\n",
" pass # Some cameras might not support this check\n",
" \n",
" # Try to initialize\n",
" try:\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" \n",
" # Quick capture test\n",
" try:\n",
" # Basic setup\n",
" mvsdk.CameraSetTriggerMode(hCamera, 0)\n",
" mvsdk.CameraPlay(hCamera)\n",
" \n",
" # Try to get one frame with short timeout\n",
" pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 500) # 0.5 second timeout\n",
" mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)\n",
" \n",
" # Success - close and return\n",
" mvsdk.CameraUnInit(hCamera)\n",
" return True, f\"Camera '{DevInfo.GetFriendlyName()}' is ready for capture\", DevInfo\n",
" \n",
" except mvsdk.CameraException as e:\n",
" mvsdk.CameraUnInit(hCamera)\n",
" if e.error_code == mvsdk.CAMERA_STATUS_TIME_OUT:\n",
" return False, \"Camera timeout - may be busy or not streaming properly\", DevInfo\n",
" else:\n",
" return False, f\"Camera capture test failed: {e.message}\", DevInfo\n",
" \n",
" except mvsdk.CameraException as e:\n",
" if e.error_code == mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED:\n",
" return False, f\"Camera '{DevInfo.GetFriendlyName()}' is already in use\", DevInfo\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_ACCESS_DENY:\n",
" return False, f\"Access denied to camera '{DevInfo.GetFriendlyName()}'\", DevInfo\n",
" else:\n",
" return False, f\"Camera initialization failed: {e.message}\", DevInfo\n",
" \n",
" except Exception as e:\n",
" return False, f\"Camera check failed: {str(e)}\", None\n",
"\n",
"# Test the simple function\n",
"print(\"\\nTesting Simple Camera Ready Check:\")\n",
"print(\"=\" * 40)\n",
"\n",
"ready, message, camera_info = is_camera_ready_for_capture()\n",
"print(f\"Ready: {ready}\")\n",
"print(f\"Message: {message}\")\n",
"if camera_info:\n",
" print(f\"Camera: {camera_info.GetFriendlyName()}\")"
]
},
{
"cell_type": "markdown",
"id": "usage-example",
"metadata": {},
"source": [
"## Usage Example\n",
"\n",
"Here's how you can integrate the camera status check into your capture script:\n",
"\n",
"```python\n",
"# Before attempting to capture images\n",
"ready, message, camera_info = is_camera_ready_for_capture()\n",
"\n",
"if not ready:\n",
" print(f\"Camera not ready: {message}\")\n",
" # Handle the error appropriately\n",
" return False\n",
"\n",
"print(f\"Camera ready: {message}\")\n",
"# Proceed with normal capture logic\n",
"```\n",
"\n",
"## Key Findings\n",
"\n",
"1. **`CameraIsOpened()`** - Checks if camera is opened by another process\n",
"2. **`CameraInit()` error codes** - Provide specific failure reasons\n",
"3. **Quick capture test** - Verifies camera is actually streaming\n",
"4. **Timeout handling** - Detects if camera is busy/unresponsive\n",
"\n",
"The most reliable approach is to:\n",
"1. Check if camera exists\n",
"2. Check if it's already opened\n",
"3. Try to initialize it\n",
"4. Test actual image capture with short timeout\n",
"5. Clean up properly"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "USDA-vision-cameras",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

495
camera-management-api/ai_agent/examples/notebooks/camera_test_setup.ipynb Normal file
View File

@@ -0,0 +1,495 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# GigE Camera Test Setup\n",
"\n",
"This notebook helps you test and configure your GigE cameras for the USDA vision project.\n",
"\n",
"## Key Features:\n",
"- Test camera connectivity\n",
"- Display images inline (no GUI needed)\n",
"- Save test images/videos to `/storage`\n",
"- Configure camera parameters\n",
"- Test recording functionality"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ All imports successful!\n",
"OpenCV version: 4.11.0\n",
"NumPy version: 2.3.2\n"
]
}
],
"source": [
"import cv2\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import os\n",
"from datetime import datetime\n",
"import time\n",
"from pathlib import Path\n",
"import imageio\n",
"from tqdm import tqdm\n",
"\n",
"# Configure matplotlib for inline display\n",
"plt.rcParams['figure.figsize'] = (12, 8)\n",
"plt.rcParams['image.cmap'] = 'gray'\n",
"\n",
"print(\"✅ All imports successful!\")\n",
"print(f\"OpenCV version: {cv2.__version__}\")\n",
"print(f\"NumPy version: {np.__version__}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Utility Functions"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Utility functions loaded!\n"
]
}
],
"source": [
"def display_image(image, title=\"Image\", figsize=(10, 8)):\n",
" \"\"\"Display image inline in Jupyter notebook\"\"\"\n",
" plt.figure(figsize=figsize)\n",
" if len(image.shape) == 3:\n",
" # Convert BGR to RGB for matplotlib\n",
" image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
" plt.imshow(image_rgb)\n",
" else:\n",
" plt.imshow(image, cmap='gray')\n",
" plt.title(title)\n",
" plt.axis('off')\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
"def save_image_to_storage(image, filename_prefix=\"test_image\"):\n",
" \"\"\"Save image to /storage with timestamp\"\"\"\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" filename = f\"{filename_prefix}_{timestamp}.jpg\"\n",
" filepath = f\"/storage/{filename}\"\n",
" \n",
" success = cv2.imwrite(filepath, image)\n",
" if success:\n",
" print(f\"✅ Image saved: {filepath}\")\n",
" return filepath\n",
" else:\n",
" print(f\"❌ Failed to save image: {filepath}\")\n",
" return None\n",
"\n",
"def create_storage_subdir(subdir_name):\n",
" \"\"\"Create subdirectory in /storage\"\"\"\n",
" path = Path(f\"/storage/{subdir_name}\")\n",
" path.mkdir(exist_ok=True)\n",
" print(f\"📁 Directory ready: {path}\")\n",
" return str(path)\n",
"\n",
"def list_available_cameras():\n",
" \"\"\"List all available camera devices\"\"\"\n",
" print(\"🔍 Scanning for available cameras...\")\n",
" available_cameras = []\n",
" \n",
" # Test camera indices 0-10\n",
" for i in range(11):\n",
" cap = cv2.VideoCapture(i)\n",
" if cap.isOpened():\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" available_cameras.append(i)\n",
" print(f\"📷 Camera {i}: Available (Resolution: {frame.shape[1]}x{frame.shape[0]})\")\n",
" cap.release()\n",
" else:\n",
" # Try with different backends for GigE cameras\n",
" cap = cv2.VideoCapture(i, cv2.CAP_GSTREAMER)\n",
" if cap.isOpened():\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" available_cameras.append(i)\n",
" print(f\"📷 Camera {i}: Available via GStreamer (Resolution: {frame.shape[1]}x{frame.shape[0]})\")\n",
" cap.release()\n",
" \n",
" if not available_cameras:\n",
" print(\"❌ No cameras found\")\n",
" \n",
" return available_cameras\n",
"\n",
"print(\"✅ Utility functions loaded!\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1: Check Storage Directory"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Storage directory exists: True\n",
"Storage directory writable: True\n",
"📁 Directory ready: /storage/test_images\n",
"📁 Directory ready: /storage/test_videos\n",
"📁 Directory ready: /storage/camera1\n",
"📁 Directory ready: /storage/camera2\n"
]
}
],
"source": [
"# Check storage directory\n",
"storage_path = Path(\"/storage\")\n",
"print(f\"Storage directory exists: {storage_path.exists()}\")\n",
"print(f\"Storage directory writable: {os.access('/storage', os.W_OK)}\")\n",
"\n",
"# Create test subdirectories\n",
"test_images_dir = create_storage_subdir(\"test_images\")\n",
"test_videos_dir = create_storage_subdir(\"test_videos\")\n",
"camera1_dir = create_storage_subdir(\"camera1\")\n",
"camera2_dir = create_storage_subdir(\"camera2\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2: Scan for Available Cameras"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"🔍 Scanning for available cameras...\n",
"❌ No cameras found\n",
"\n",
"📊 Summary: Found 0 camera(s): []\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[ WARN:0@9.977] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video0): can't open camera by index\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.977] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.977] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video1): can't open camera by index\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.977] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.977] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video2): can't open camera by index\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.977] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.977] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video3): can't open camera by index\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.977] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.977] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.977] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video4): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.978] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.978] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video5): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.978] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.978] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video6): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.978] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.978] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video7): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.978] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.978] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video8): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.978] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.978] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video9): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.978] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@9.978] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video10): can't open camera by index\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.978] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@9.979] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@9.979] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@9.979] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n"
]
}
],
"source": [
"# Scan for cameras\n",
"cameras = list_available_cameras()\n",
"print(f\"\\n📊 Summary: Found {len(cameras)} camera(s): {cameras}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 3: Test Individual Camera"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"🔧 Testing camera 0...\n",
" Trying Default backend...\n",
" ❌ Default backend failed to open\n",
" Trying GStreamer backend...\n",
" ❌ GStreamer backend failed to open\n",
" Trying V4L2 backend...\n",
" ❌ V4L2 backend failed to open\n",
" Trying FFmpeg backend...\n",
" ❌ FFmpeg backend failed to open\n",
"❌ Camera 0 not accessible with any backend\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[ WARN:0@27.995] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video0): can't open camera by index\n",
"[ WARN:0@27.995] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@27.995] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ WARN:0@27.995] global obsensor_stream_channel_v4l2.cpp:82 xioctl ioctl: fd=-1, req=-2140645888\n",
"[ WARN:0@27.995] global obsensor_stream_channel_v4l2.cpp:138 queryUvcDeviceInfoList ioctl error return: 9\n",
"[ERROR:0@27.995] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n",
"[ WARN:0@27.996] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video0): can't open camera by index\n",
"[ WARN:0@27.996] global cap.cpp:478 open VIDEOIO(V4L2): backend is generally available but can't be used to capture by index\n",
"[ WARN:0@27.996] global cap.cpp:478 open VIDEOIO(FFMPEG): backend is generally available but can't be used to capture by index\n"
]
}
],
"source": [
"# Test a specific camera (change camera_id as needed)\n",
"camera_id = 0 # Change this to test different cameras\n",
"\n",
"print(f\"🔧 Testing camera {camera_id}...\")\n",
"\n",
"# Try different backends for GigE cameras\n",
"backends_to_try = [\n",
" (cv2.CAP_ANY, \"Default\"),\n",
" (cv2.CAP_GSTREAMER, \"GStreamer\"),\n",
" (cv2.CAP_V4L2, \"V4L2\"),\n",
" (cv2.CAP_FFMPEG, \"FFmpeg\")\n",
"]\n",
"\n",
"successful_backend = None\n",
"cap = None\n",
"\n",
"for backend, name in backends_to_try:\n",
" print(f\" Trying {name} backend...\")\n",
" cap = cv2.VideoCapture(camera_id, backend)\n",
" if cap.isOpened():\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" print(f\" ✅ {name} backend works!\")\n",
" successful_backend = (backend, name)\n",
" break\n",
" else:\n",
" print(f\" ❌ {name} backend opened but can't read frames\")\n",
" else:\n",
" print(f\" ❌ {name} backend failed to open\")\n",
" cap.release()\n",
"\n",
"if successful_backend:\n",
" backend, backend_name = successful_backend\n",
" cap = cv2.VideoCapture(camera_id, backend)\n",
" \n",
" # Get camera properties\n",
" width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
" height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
" fps = cap.get(cv2.CAP_PROP_FPS)\n",
" \n",
" print(f\"\\n📷 Camera {camera_id} Properties ({backend_name}):\")\n",
" print(f\" Resolution: {width}x{height}\")\n",
" print(f\" FPS: {fps}\")\n",
" \n",
" # Capture a test frame\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" print(f\" Frame shape: {frame.shape}\")\n",
" print(f\" Frame dtype: {frame.dtype}\")\n",
" \n",
" # Display the frame\n",
" display_image(frame, f\"Camera {camera_id} Test Frame\")\n",
" \n",
" # Save test image\n",
" save_image_to_storage(frame, f\"camera_{camera_id}_test\")\n",
" else:\n",
" print(\" ❌ Failed to capture frame\")\n",
" \n",
" cap.release()\n",
"else:\n",
" print(f\"❌ Camera {camera_id} not accessible with any backend\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 4: Test Video Recording"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Test video recording\n",
"def test_video_recording(camera_id, duration_seconds=5, fps=30):\n",
" \"\"\"Test video recording from camera\"\"\"\n",
" print(f\"🎥 Testing video recording from camera {camera_id} for {duration_seconds} seconds...\")\n",
" \n",
" # Open camera\n",
" cap = cv2.VideoCapture(camera_id)\n",
" if not cap.isOpened():\n",
" print(f\"❌ Cannot open camera {camera_id}\")\n",
" return None\n",
" \n",
" # Get camera properties\n",
" width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
" height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
" \n",
" # Create video writer\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" video_filename = f\"/storage/test_videos/camera_{camera_id}_test_{timestamp}.mp4\"\n",
" \n",
" fourcc = cv2.VideoWriter_fourcc(*'mp4v')\n",
" out = cv2.VideoWriter(video_filename, fourcc, fps, (width, height))\n",
" \n",
" if not out.isOpened():\n",
" print(\"❌ Cannot create video writer\")\n",
" cap.release()\n",
" return None\n",
" \n",
" # Record video\n",
" frames_to_capture = duration_seconds * fps\n",
" frames_captured = 0\n",
" \n",
" print(f\"Recording {frames_to_capture} frames...\")\n",
" \n",
" with tqdm(total=frames_to_capture, desc=\"Recording\") as pbar:\n",
" start_time = time.time()\n",
" \n",
" while frames_captured < frames_to_capture:\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" out.write(frame)\n",
" frames_captured += 1\n",
" pbar.update(1)\n",
" \n",
" # Display first frame\n",
" if frames_captured == 1:\n",
" display_image(frame, f\"First frame from camera {camera_id}\")\n",
" else:\n",
" print(f\"❌ Failed to read frame {frames_captured}\")\n",
" break\n",
" \n",
" # Cleanup\n",
" cap.release()\n",
" out.release()\n",
" \n",
" elapsed_time = time.time() - start_time\n",
" actual_fps = frames_captured / elapsed_time\n",
" \n",
" print(f\"✅ Video saved: {video_filename}\")\n",
" print(f\"📊 Captured {frames_captured} frames in {elapsed_time:.2f}s\")\n",
" print(f\"📊 Actual FPS: {actual_fps:.2f}\")\n",
" \n",
" return video_filename\n",
"\n",
"# Test recording (change camera_id as needed)\n",
"if cameras: # Only test if cameras were found\n",
" test_camera = cameras[0] # Use first available camera\n",
" video_file = test_video_recording(test_camera, duration_seconds=3)\n",
"else:\n",
" print(\"⚠️ No cameras available for video test\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "USDA-vision-cameras",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.2"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

426
camera-management-api/ai_agent/examples/notebooks/exposure test.ipynb Normal file
View File

@@ -0,0 +1,426 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 25,
"id": "ba958c88",
"metadata": {},
"outputs": [],
"source": [
"# coding=utf-8\n",
"\"\"\"\n",
"Test script to help find optimal exposure settings for your GigE camera.\n",
"This script captures a single test image with different exposure settings.\n",
"\"\"\"\n",
"import sys\n",
"\n",
"sys.path.append(\"./python demo\")\n",
"import os\n",
"import mvsdk\n",
"import numpy as np\n",
"import cv2\n",
"import platform\n",
"from datetime import datetime\n",
"\n",
"# Add the python demo directory to path\n"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "23f1dc49",
"metadata": {},
"outputs": [],
"source": [
"def test_exposure_settings():\n",
" \"\"\"\n",
" Test different exposure settings to find optimal values\n",
" \"\"\"\n",
" # Initialize SDK\n",
" try:\n",
" mvsdk.CameraSdkInit(1)\n",
" print(\"SDK initialized successfully\")\n",
" except Exception as e:\n",
" print(f\"SDK initialization failed: {e}\")\n",
" return False\n",
"\n",
" # Enumerate cameras\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" nDev = len(DevList)\n",
"\n",
" if nDev < 1:\n",
" print(\"No camera was found!\")\n",
" return False\n",
"\n",
" print(f\"Found {nDev} camera(s):\")\n",
" for i, DevInfo in enumerate(DevList):\n",
" print(f\" {i}: {DevInfo.GetFriendlyName()} ({DevInfo.GetPortType()})\")\n",
"\n",
" # Use first camera\n",
" DevInfo = DevList[0]\n",
" print(f\"\\nSelected camera: {DevInfo.GetFriendlyName()}\")\n",
"\n",
" # Initialize camera\n",
" try:\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" print(\"Camera initialized successfully\")\n",
" except mvsdk.CameraException as e:\n",
" print(f\"CameraInit Failed({e.error_code}): {e.message}\")\n",
" return False\n",
"\n",
" try:\n",
" # Get camera capabilities\n",
" cap = mvsdk.CameraGetCapability(hCamera)\n",
" monoCamera = cap.sIspCapacity.bMonoSensor != 0\n",
" print(f\"Camera type: {'Monochrome' if monoCamera else 'Color'}\")\n",
"\n",
" # Get camera ranges\n",
" try:\n",
" exp_min, exp_max, exp_step = mvsdk.CameraGetExposureTimeRange(hCamera)\n",
" print(f\"Exposure time range: {exp_min:.1f} - {exp_max:.1f} μs\")\n",
"\n",
" gain_min, gain_max, gain_step = mvsdk.CameraGetAnalogGainXRange(hCamera)\n",
" print(f\"Analog gain range: {gain_min:.2f} - {gain_max:.2f}x\")\n",
"\n",
" print(\"whatever this is: \", mvsdk.CameraGetAnalogGainXRange(hCamera))\n",
" except Exception as e:\n",
" print(f\"Could not get camera ranges: {e}\")\n",
" exp_min, exp_max = 100, 100000\n",
" gain_min, gain_max = 1.0, 4.0\n",
"\n",
" # Set output format\n",
" if monoCamera:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)\n",
" else:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)\n",
"\n",
" # Set camera to continuous capture mode\n",
" mvsdk.CameraSetTriggerMode(hCamera, 0)\n",
" mvsdk.CameraSetAeState(hCamera, 0) # Disable auto exposure\n",
"\n",
" # Start camera\n",
" mvsdk.CameraPlay(hCamera)\n",
"\n",
" # Allocate frame buffer\n",
" FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)\n",
" pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)\n",
"\n",
" # Create test directory\n",
" if not os.path.exists(\"exposure_tests\"):\n",
" os.makedirs(\"exposure_tests\")\n",
"\n",
" print(\"\\nTesting different exposure settings...\")\n",
" print(\"=\" * 50)\n",
"\n",
" # Test different exposure times (in microseconds)\n",
" exposure_times = [100, 200, 500, 1000, 2000, 5000, 10000, 20000] # 0.5ms to 20ms\n",
" analog_gains = [2.5, 5.0, 10.0, 16.0] # Start with 1x gain\n",
"\n",
" test_count = 0\n",
" for exp_time in exposure_times:\n",
" for gain in analog_gains:\n",
" # Clamp values to valid ranges\n",
" exp_time = max(exp_min, min(exp_max, exp_time))\n",
" gain = max(gain_min, min(gain_max, gain))\n",
"\n",
" print(f\"\\nTest {test_count + 1}: Exposure={exp_time/1000:.1f}ms, Gain={gain:.1f}x\")\n",
"\n",
" # Set camera parameters\n",
" mvsdk.CameraSetExposureTime(hCamera, exp_time)\n",
" try:\n",
" mvsdk.CameraSetAnalogGainX(hCamera, gain)\n",
" except:\n",
" pass # Some cameras might not support this\n",
"\n",
" # Wait a moment for settings to take effect\n",
" import time\n",
"\n",
" time.sleep(0.1)\n",
"\n",
" # Capture image\n",
" try:\n",
" pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000)\n",
" mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)\n",
" mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)\n",
"\n",
" # Handle Windows image flip\n",
" if platform.system() == \"Windows\":\n",
" mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)\n",
"\n",
" # Convert to numpy array\n",
" frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)\n",
" frame = np.frombuffer(frame_data, dtype=np.uint8)\n",
"\n",
" if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8:\n",
" frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))\n",
" else:\n",
" frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))\n",
"\n",
" # Calculate image statistics\n",
" mean_brightness = np.mean(frame)\n",
" max_brightness = np.max(frame)\n",
"\n",
" # Save image\n",
" filename = f\"exposure_tests/test_{test_count+1:02d}_exp{exp_time/1000:.1f}ms_gain{gain:.1f}x.jpg\"\n",
" cv2.imwrite(filename, frame)\n",
"\n",
" # Provide feedback\n",
" status = \"\"\n",
" if mean_brightness < 50:\n",
" status = \"TOO DARK\"\n",
" elif mean_brightness > 200:\n",
" status = \"TOO BRIGHT\"\n",
" elif max_brightness >= 255:\n",
" status = \"OVEREXPOSED\"\n",
" else:\n",
" status = \"GOOD\"\n",
"\n",
" print(f\" → Saved: {filename}\")\n",
" print(f\" → Brightness: mean={mean_brightness:.1f}, max={max_brightness:.1f} [{status}]\")\n",
"\n",
" test_count += 1\n",
"\n",
" except mvsdk.CameraException as e:\n",
" print(f\" → Failed to capture: {e.message}\")\n",
"\n",
" print(f\"\\nCompleted {test_count} test captures!\")\n",
" print(\"Check the 'exposure_tests' directory to see the results.\")\n",
" print(\"\\nRecommendations:\")\n",
" print(\"- Look for images marked as 'GOOD' - these have optimal exposure\")\n",
" print(\"- If all images are 'TOO BRIGHT', try lower exposure times or gains\")\n",
" print(\"- If all images are 'TOO DARK', try higher exposure times or gains\")\n",
" print(\"- Avoid 'OVEREXPOSED' images as they have clipped highlights\")\n",
"\n",
" # Cleanup\n",
" mvsdk.CameraAlignFree(pFrameBuffer)\n",
"\n",
" finally:\n",
" # Close camera\n",
" mvsdk.CameraUnInit(hCamera)\n",
" print(\"\\nCamera closed\")\n",
"\n",
" return True"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "2891b5bf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"GigE Camera Exposure Test Script\n",
"========================================\n",
"This script will test different exposure settings and save sample images.\n",
"Use this to find the optimal settings for your lighting conditions.\n",
"\n",
"SDK initialized successfully\n",
"Found 2 camera(s):\n",
" 0: Blower-Yield-Cam (NET-100M-192.168.1.204)\n",
" 1: Cracker-Cam (NET-1000M-192.168.1.246)\n",
"\n",
"Selected camera: Blower-Yield-Cam\n",
"Camera initialized successfully\n",
"Camera type: Color\n",
"Exposure time range: 8.0 - 1048568.0 μs\n",
"Analog gain range: 2.50 - 16.50x\n",
"whatever this is: (2.5, 16.5, 0.5)\n",
"\n",
"Testing different exposure settings...\n",
"==================================================\n",
"\n",
"Test 1: Exposure=0.1ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_01_exp0.1ms_gain2.5x.jpg\n",
" → Brightness: mean=94.1, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 2: Exposure=0.1ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_02_exp0.1ms_gain5.0x.jpg\n",
" → Brightness: mean=13.7, max=173.0 [TOO DARK]\n",
"\n",
"Test 3: Exposure=0.1ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_03_exp0.1ms_gain10.0x.jpg\n",
" → Brightness: mean=14.1, max=255.0 [TOO DARK]\n",
"\n",
"Test 4: Exposure=0.1ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_04_exp0.1ms_gain16.0x.jpg\n",
" → Brightness: mean=18.2, max=255.0 [TOO DARK]\n",
"\n",
"Test 5: Exposure=0.2ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_05_exp0.2ms_gain2.5x.jpg\n",
" → Brightness: mean=22.1, max=255.0 [TOO DARK]\n",
"\n",
"Test 6: Exposure=0.2ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_06_exp0.2ms_gain5.0x.jpg\n",
" → Brightness: mean=19.5, max=255.0 [TOO DARK]\n",
"\n",
"Test 7: Exposure=0.2ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_07_exp0.2ms_gain10.0x.jpg\n",
" → Brightness: mean=25.3, max=255.0 [TOO DARK]\n",
"\n",
"Test 8: Exposure=0.2ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_08_exp0.2ms_gain16.0x.jpg\n",
" → Brightness: mean=36.6, max=255.0 [TOO DARK]\n",
"\n",
"Test 9: Exposure=0.5ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_09_exp0.5ms_gain2.5x.jpg\n",
" → Brightness: mean=55.8, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 10: Exposure=0.5ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_10_exp0.5ms_gain5.0x.jpg\n",
" → Brightness: mean=38.5, max=255.0 [TOO DARK]\n",
"\n",
"Test 11: Exposure=0.5ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_11_exp0.5ms_gain10.0x.jpg\n",
" → Brightness: mean=60.2, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 12: Exposure=0.5ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_12_exp0.5ms_gain16.0x.jpg\n",
" → Brightness: mean=99.3, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 13: Exposure=1.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_13_exp1.0ms_gain2.5x.jpg\n",
" → Brightness: mean=121.1, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 14: Exposure=1.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_14_exp1.0ms_gain5.0x.jpg\n",
" → Brightness: mean=68.8, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 15: Exposure=1.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_15_exp1.0ms_gain10.0x.jpg\n",
" → Brightness: mean=109.6, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 16: Exposure=1.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_16_exp1.0ms_gain16.0x.jpg\n",
" → Brightness: mean=148.7, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 17: Exposure=2.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_17_exp2.0ms_gain2.5x.jpg\n",
" → Brightness: mean=171.9, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 18: Exposure=2.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_18_exp2.0ms_gain5.0x.jpg\n",
" → Brightness: mean=117.9, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 19: Exposure=2.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_19_exp2.0ms_gain10.0x.jpg\n",
" → Brightness: mean=159.0, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 20: Exposure=2.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_20_exp2.0ms_gain16.0x.jpg\n",
" → Brightness: mean=195.7, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 21: Exposure=5.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_21_exp5.0ms_gain2.5x.jpg\n",
" → Brightness: mean=214.6, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 22: Exposure=5.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_22_exp5.0ms_gain5.0x.jpg\n",
" → Brightness: mean=180.2, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 23: Exposure=5.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_23_exp5.0ms_gain10.0x.jpg\n",
" → Brightness: mean=214.6, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 24: Exposure=5.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_24_exp5.0ms_gain16.0x.jpg\n",
" → Brightness: mean=239.6, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 25: Exposure=10.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_25_exp10.0ms_gain2.5x.jpg\n",
" → Brightness: mean=247.5, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 26: Exposure=10.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_26_exp10.0ms_gain5.0x.jpg\n",
" → Brightness: mean=252.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 27: Exposure=10.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_27_exp10.0ms_gain10.0x.jpg\n",
" → Brightness: mean=218.9, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 28: Exposure=10.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_28_exp10.0ms_gain16.0x.jpg\n",
" → Brightness: mean=250.8, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 29: Exposure=20.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_29_exp20.0ms_gain2.5x.jpg\n",
" → Brightness: mean=252.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 30: Exposure=20.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_30_exp20.0ms_gain5.0x.jpg\n",
" → Brightness: mean=244.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 31: Exposure=20.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_31_exp20.0ms_gain10.0x.jpg\n",
" → Brightness: mean=251.5, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 32: Exposure=20.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_32_exp20.0ms_gain16.0x.jpg\n",
" → Brightness: mean=253.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Completed 32 test captures!\n",
"Check the 'exposure_tests' directory to see the results.\n",
"\n",
"Recommendations:\n",
"- Look for images marked as 'GOOD' - these have optimal exposure\n",
"- If all images are 'TOO BRIGHT', try lower exposure times or gains\n",
"- If all images are 'TOO DARK', try higher exposure times or gains\n",
"- Avoid 'OVEREXPOSED' images as they have clipped highlights\n",
"\n",
"Camera closed\n",
"\n",
"Testing completed successfully!\n"
]
}
],
"source": [
"\n",
"\n",
"if __name__ == \"__main__\":\n",
" print(\"GigE Camera Exposure Test Script\")\n",
" print(\"=\" * 40)\n",
" print(\"This script will test different exposure settings and save sample images.\")\n",
" print(\"Use this to find the optimal settings for your lighting conditions.\")\n",
" print()\n",
"\n",
" success = test_exposure_settings()\n",
"\n",
" if success:\n",
" print(\"\\nTesting completed successfully!\")\n",
" else:\n",
" print(\"\\nTesting failed!\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ead8d889",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "cc_pecan",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

385
camera-management-api/ai_agent/examples/notebooks/gige_camera_advanced.ipynb Normal file
View File

@@ -0,0 +1,385 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Advanced GigE Camera Configuration\n",
"\n",
"This notebook provides advanced testing and configuration for GigE cameras.\n",
"\n",
"## Features:\n",
"- Network interface detection\n",
"- GigE camera discovery\n",
"- Camera parameter configuration\n",
"- Performance testing\n",
"- Dual camera synchronization testing"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import cv2\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import subprocess\n",
"import socket\n",
"import threading\n",
"import time\n",
"from datetime import datetime\n",
"import os\n",
"from pathlib import Path\n",
"import json\n",
"\n",
"print(\"✅ Imports successful!\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Network Interface Detection"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def get_network_interfaces():\n",
" \"\"\"Get network interface information\"\"\"\n",
" try:\n",
" result = subprocess.run(['ip', 'addr', 'show'], capture_output=True, text=True)\n",
" print(\"🌐 Network Interfaces:\")\n",
" print(result.stdout)\n",
" \n",
" # Also check for GigE specific interfaces\n",
" result2 = subprocess.run(['ifconfig'], capture_output=True, text=True)\n",
" if result2.returncode == 0:\n",
" print(\"\\n📡 Interface Configuration:\")\n",
" print(result2.stdout)\n",
" except Exception as e:\n",
" print(f\"❌ Error getting network info: {e}\")\n",
"\n",
"get_network_interfaces()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## GigE Camera Discovery"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def discover_gige_cameras():\n",
" \"\"\"Attempt to discover GigE cameras on the network\"\"\"\n",
" print(\"🔍 Discovering GigE cameras...\")\n",
" \n",
" # Try different methods to find GigE cameras\n",
" methods = [\n",
" \"OpenCV with different backends\",\n",
" \"Network scanning\",\n",
" \"GStreamer pipeline testing\"\n",
" ]\n",
" \n",
" print(\"\\n1. Testing OpenCV backends:\")\n",
" backends = [\n",
" (cv2.CAP_GSTREAMER, \"GStreamer\"),\n",
" (cv2.CAP_V4L2, \"V4L2\"),\n",
" (cv2.CAP_FFMPEG, \"FFmpeg\"),\n",
" (cv2.CAP_ANY, \"Default\")\n",
" ]\n",
" \n",
" for backend_id, backend_name in backends:\n",
" print(f\" Testing {backend_name}...\")\n",
" for cam_id in range(5):\n",
" try:\n",
" cap = cv2.VideoCapture(cam_id, backend_id)\n",
" if cap.isOpened():\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" print(f\" ✅ Camera {cam_id} accessible via {backend_name}\")\n",
" print(f\" Resolution: {frame.shape[1]}x{frame.shape[0]}\")\n",
" cap.release()\n",
" except Exception as e:\n",
" pass\n",
" \n",
" print(\"\\n2. Testing GStreamer pipelines:\")\n",
" # Common GigE camera GStreamer pipelines\n",
" gstreamer_pipelines = [\n",
" \"v4l2src device=/dev/video0 ! videoconvert ! appsink\",\n",
" \"v4l2src device=/dev/video1 ! videoconvert ! appsink\",\n",
" \"tcambin ! videoconvert ! appsink\", # For TIS cameras\n",
" \"aravis ! videoconvert ! appsink\", # For Aravis-supported cameras\n",
" ]\n",
" \n",
" for pipeline in gstreamer_pipelines:\n",
" try:\n",
" print(f\" Testing: {pipeline}\")\n",
" cap = cv2.VideoCapture(pipeline, cv2.CAP_GSTREAMER)\n",
" if cap.isOpened():\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" print(f\" ✅ Pipeline works! Frame shape: {frame.shape}\")\n",
" else:\n",
" print(f\" ⚠️ Pipeline opened but no frames\")\n",
" else:\n",
" print(f\" ❌ Pipeline failed\")\n",
" cap.release()\n",
" except Exception as e:\n",
" print(f\" ❌ Error: {e}\")\n",
"\n",
"discover_gige_cameras()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Camera Parameter Configuration"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def configure_camera_parameters(camera_id, backend=cv2.CAP_ANY):\n",
" \"\"\"Configure and test camera parameters\"\"\"\n",
" print(f\"⚙️ Configuring camera {camera_id}...\")\n",
" \n",
" cap = cv2.VideoCapture(camera_id, backend)\n",
" if not cap.isOpened():\n",
" print(f\"❌ Cannot open camera {camera_id}\")\n",
" return None\n",
" \n",
" # Get current parameters\n",
" current_params = {\n",
" 'width': cap.get(cv2.CAP_PROP_FRAME_WIDTH),\n",
" 'height': cap.get(cv2.CAP_PROP_FRAME_HEIGHT),\n",
" 'fps': cap.get(cv2.CAP_PROP_FPS),\n",
" 'brightness': cap.get(cv2.CAP_PROP_BRIGHTNESS),\n",
" 'contrast': cap.get(cv2.CAP_PROP_CONTRAST),\n",
" 'saturation': cap.get(cv2.CAP_PROP_SATURATION),\n",
" 'hue': cap.get(cv2.CAP_PROP_HUE),\n",
" 'gain': cap.get(cv2.CAP_PROP_GAIN),\n",
" 'exposure': cap.get(cv2.CAP_PROP_EXPOSURE),\n",
" 'auto_exposure': cap.get(cv2.CAP_PROP_AUTO_EXPOSURE),\n",
" 'white_balance': cap.get(cv2.CAP_PROP_WHITE_BALANCE_BLUE_U),\n",
" }\n",
" \n",
" print(\"📊 Current Camera Parameters:\")\n",
" for param, value in current_params.items():\n",
" print(f\" {param}: {value}\")\n",
" \n",
" # Test setting some parameters\n",
" print(\"\\n🔧 Testing parameter changes:\")\n",
" \n",
" # Try to set resolution (common GigE resolutions)\n",
" test_resolutions = [(1920, 1080), (1280, 720), (640, 480)]\n",
" for width, height in test_resolutions:\n",
" if cap.set(cv2.CAP_PROP_FRAME_WIDTH, width) and cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height):\n",
" actual_width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)\n",
" actual_height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)\n",
" print(f\" Resolution {width}x{height}: Set to {actual_width}x{actual_height}\")\n",
" break\n",
" \n",
" # Test FPS settings\n",
" for fps in [30, 60, 120]:\n",
" if cap.set(cv2.CAP_PROP_FPS, fps):\n",
" actual_fps = cap.get(cv2.CAP_PROP_FPS)\n",
" print(f\" FPS {fps}: Set to {actual_fps}\")\n",
" break\n",
" \n",
" # Capture test frame with new settings\n",
" ret, frame = cap.read()\n",
" if ret:\n",
" print(f\"\\n✅ Test frame captured: {frame.shape}\")\n",
" \n",
" # Display frame\n",
" plt.figure(figsize=(10, 6))\n",
" if len(frame.shape) == 3:\n",
" plt.imshow(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))\n",
" else:\n",
" plt.imshow(frame, cmap='gray')\n",
" plt.title(f\"Camera {camera_id} - Configured\")\n",
" plt.axis('off')\n",
" plt.show()\n",
" \n",
" # Save configuration and test image\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" \n",
" # Save image\n",
" img_path = f\"/storage/camera{camera_id}/configured_test_{timestamp}.jpg\"\n",
" cv2.imwrite(img_path, frame)\n",
" print(f\"💾 Test image saved: {img_path}\")\n",
" \n",
" # Save configuration\n",
" config_path = f\"/storage/camera{camera_id}/config_{timestamp}.json\"\n",
" with open(config_path, 'w') as f:\n",
" json.dump(current_params, f, indent=2)\n",
" print(f\"💾 Configuration saved: {config_path}\")\n",
" \n",
" cap.release()\n",
" return current_params\n",
"\n",
"# Test configuration (change camera_id as needed)\n",
"camera_to_configure = 0\n",
"config = configure_camera_parameters(camera_to_configure)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Dual Camera Testing"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def test_dual_cameras(camera1_id=0, camera2_id=1, duration=5):\n",
" \"\"\"Test simultaneous capture from two cameras\"\"\"\n",
" print(f\"📷📷 Testing dual camera capture (cameras {camera1_id} and {camera2_id})...\")\n",
" \n",
" # Open both cameras\n",
" cap1 = cv2.VideoCapture(camera1_id)\n",
" cap2 = cv2.VideoCapture(camera2_id)\n",
" \n",
" if not cap1.isOpened():\n",
" print(f\"❌ Cannot open camera {camera1_id}\")\n",
" return\n",
" \n",
" if not cap2.isOpened():\n",
" print(f\"❌ Cannot open camera {camera2_id}\")\n",
" cap1.release()\n",
" return\n",
" \n",
" print(\"✅ Both cameras opened successfully\")\n",
" \n",
" # Capture test frames\n",
" ret1, frame1 = cap1.read()\n",
" ret2, frame2 = cap2.read()\n",
" \n",
" if ret1 and ret2:\n",
" print(f\"📊 Camera {camera1_id}: {frame1.shape}\")\n",
" print(f\"📊 Camera {camera2_id}: {frame2.shape}\")\n",
" \n",
" # Display both frames side by side\n",
" fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6))\n",
" \n",
" if len(frame1.shape) == 3:\n",
" ax1.imshow(cv2.cvtColor(frame1, cv2.COLOR_BGR2RGB))\n",
" else:\n",
" ax1.imshow(frame1, cmap='gray')\n",
" ax1.set_title(f\"Camera {camera1_id}\")\n",
" ax1.axis('off')\n",
" \n",
" if len(frame2.shape) == 3:\n",
" ax2.imshow(cv2.cvtColor(frame2, cv2.COLOR_BGR2RGB))\n",
" else:\n",
" ax2.imshow(frame2, cmap='gray')\n",
" ax2.set_title(f\"Camera {camera2_id}\")\n",
" ax2.axis('off')\n",
" \n",
" plt.tight_layout()\n",
" plt.show()\n",
" \n",
" # Save test images\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" cv2.imwrite(f\"/storage/camera1/dual_test_{timestamp}.jpg\", frame1)\n",
" cv2.imwrite(f\"/storage/camera2/dual_test_{timestamp}.jpg\", frame2)\n",
" print(f\"💾 Dual camera test images saved with timestamp {timestamp}\")\n",
" \n",
" else:\n",
" print(\"❌ Failed to capture from one or both cameras\")\n",
" \n",
" # Test synchronized recording\n",
" print(f\"\\n🎥 Testing synchronized recording for {duration} seconds...\")\n",
" \n",
" # Setup video writers\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" \n",
" fourcc = cv2.VideoWriter_fourcc(*'mp4v')\n",
" fps = 30\n",
" \n",
" if ret1:\n",
" h1, w1 = frame1.shape[:2]\n",
" out1 = cv2.VideoWriter(f\"/storage/camera1/sync_test_{timestamp}.mp4\", fourcc, fps, (w1, h1))\n",
" \n",
" if ret2:\n",
" h2, w2 = frame2.shape[:2]\n",
" out2 = cv2.VideoWriter(f\"/storage/camera2/sync_test_{timestamp}.mp4\", fourcc, fps, (w2, h2))\n",
" \n",
" # Record synchronized video\n",
" start_time = time.time()\n",
" frame_count = 0\n",
" \n",
" while time.time() - start_time < duration:\n",
" ret1, frame1 = cap1.read()\n",
" ret2, frame2 = cap2.read()\n",
" \n",
" if ret1 and ret2:\n",
" out1.write(frame1)\n",
" out2.write(frame2)\n",
" frame_count += 1\n",
" else:\n",
" print(f\"⚠️ Frame drop at frame {frame_count}\")\n",
" \n",
" # Cleanup\n",
" cap1.release()\n",
" cap2.release()\n",
" if 'out1' in locals():\n",
" out1.release()\n",
" if 'out2' in locals():\n",
" out2.release()\n",
" \n",
" elapsed = time.time() - start_time\n",
" actual_fps = frame_count / elapsed\n",
" \n",
" print(f\"✅ Synchronized recording complete\")\n",
" print(f\"📊 Recorded {frame_count} frames in {elapsed:.2f}s\")\n",
" print(f\"📊 Actual FPS: {actual_fps:.2f}\")\n",
" print(f\"💾 Videos saved with timestamp {timestamp}\")\n",
"\n",
"# Test dual cameras (adjust camera IDs as needed)\n",
"test_dual_cameras(0, 1, duration=3)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "usda-vision-cameras",
"language": "python",
"name": "usda-vision-cameras"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.0"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

146
camera-management-api/ai_agent/examples/notebooks/mqtt test.ipynb Normal file
View File

@@ -0,0 +1,146 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "3b92c632",
"metadata": {},
"outputs": [],
"source": [
"import paho.mqtt.client as mqtt\n",
"import time\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a6753fb1",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_2342/243927247.py:34: DeprecationWarning: Callback API version 1 is deprecated, update to latest version\n",
" client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION1) # Use VERSION1 for broader compatibility\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Connecting to MQTT broker at 192.168.1.110:1883...\n",
"Successfully connected to MQTT Broker!\n",
"Subscribed to topic: 'vision/vibratory_conveyor/state'\n",
"Listening for messages... (Press Ctrl+C to stop)\n",
"\n",
"--- MQTT MESSAGE RECEIVED! ---\n",
" Topic: vision/vibratory_conveyor/state\n",
" Payload: on\n",
" Time: 2025-07-25 21:03:21\n",
"------------------------------\n",
"\n",
"\n",
"--- MQTT MESSAGE RECEIVED! ---\n",
" Topic: vision/vibratory_conveyor/state\n",
" Payload: off\n",
" Time: 2025-07-25 21:05:26\n",
"------------------------------\n",
"\n",
"\n",
"Stopping MQTT listener.\n"
]
}
],
"source": [
"\n",
"# --- MQTT Broker Configuration ---\n",
"# Your Home Assistant's IP address (where your MQTT broker is running)\n",
"MQTT_BROKER_HOST = \"192.168.1.110\"\n",
"MQTT_BROKER_PORT = 1883\n",
"# IMPORTANT: Replace with your actual MQTT broker username and password if you have one set up\n",
"# (These are NOT your Home Assistant login credentials, but for the Mosquitto add-on, if used)\n",
"# MQTT_BROKER_USERNAME = \"pecan\" # e.g., \"homeassistant_mqtt_user\"\n",
"# MQTT_BROKER_PASSWORD = \"whatever\" # e.g., \"SuperSecurePassword123!\"\n",
"\n",
"# --- Topic to Subscribe To ---\n",
"# This MUST exactly match the topic you set in your Home Assistant automation\n",
"MQTT_TOPIC = \"vision/vibratory_conveyor/state\" # <<<< Make sure this is correct!\n",
"MQTT_TOPIC = \"vision/blower_separator/state\" # <<<< Make sure this is correct!\n",
"\n",
"# The callback for when the client receives a CONNACK response from the server.\n",
"def on_connect(client, userdata, flags, rc):\n",
" if rc == 0:\n",
" print(\"Successfully connected to MQTT Broker!\")\n",
" client.subscribe(MQTT_TOPIC)\n",
" print(f\"Subscribed to topic: '{MQTT_TOPIC}'\")\n",
" print(\"Listening for messages... (Press Ctrl+C to stop)\")\n",
" else:\n",
" print(f\"Failed to connect, return code {rc}\\n\")\n",
"\n",
"# The callback for when a PUBLISH message is received from the server.\n",
"def on_message(client, userdata, msg):\n",
" received_payload = msg.payload.decode()\n",
" print(f\"\\n--- MQTT MESSAGE RECEIVED! ---\")\n",
" print(f\" Topic: {msg.topic}\")\n",
" print(f\" Payload: {received_payload}\")\n",
" print(f\" Time: {time.strftime('%Y-%m-%d %H:%M:%S')}\")\n",
" print(f\"------------------------------\\n\")\n",
"\n",
"# Create an MQTT client instance\n",
"client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION1) # Use VERSION1 for broader compatibility\n",
"\n",
"# Set callback functions\n",
"client.on_connect = on_connect\n",
"client.on_message = on_message\n",
"\n",
"# Set username and password if required\n",
"# (Only uncomment and fill these if your MQTT broker requires authentication)\n",
"# client.username_pw_set(MQTT_BROKER_USERNAME, MQTT_BROKER_PASSWORD)\n",
"\n",
"try:\n",
" # Attempt to connect to the MQTT broker\n",
" print(f\"Connecting to MQTT broker at {MQTT_BROKER_HOST}:{MQTT_BROKER_PORT}...\")\n",
" client.connect(MQTT_BROKER_HOST, MQTT_BROKER_PORT, 60)\n",
"\n",
" # Start the MQTT loop. This runs in the background and processes messages.\n",
" client.loop_forever()\n",
"\n",
"except KeyboardInterrupt:\n",
" print(\"\\nStopping MQTT listener.\")\n",
" client.disconnect() # Disconnect gracefully\n",
"except Exception as e:\n",
" print(f\"An unexpected error occurred: {e}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "56531671",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "USDA-vision-cameras",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}