init commit
This commit is contained in:
Alireza Vaezi
BIN
python demo/__pycache__/mvsdk.cpython-313.pyc
Normal file
BIN
python demo/__pycache__/mvsdk.cpython-313.pyc
Normal file
Binary file not shown.
95
python demo/cv_grab.py
Normal file
95
python demo/cv_grab.py
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@@ -0,0 +1,95 @@
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#coding=utf-8
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import cv2
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import numpy as np
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import mvsdk
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import platform
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def main_loop():
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# 枚举相机
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DevList = mvsdk.CameraEnumerateDevice()
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nDev = len(DevList)
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if nDev < 1:
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print("No camera was found!")
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return
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for i, DevInfo in enumerate(DevList):
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print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
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i = 0 if nDev == 1 else int(input("Select camera: "))
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DevInfo = DevList[i]
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print(DevInfo)
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# 打开相机
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hCamera = 0
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try:
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hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
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except mvsdk.CameraException as e:
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print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
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return
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# 获取相机特性描述
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cap = mvsdk.CameraGetCapability(hCamera)
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# 判断是黑白相机还是彩色相机
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monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
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# 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
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if monoCamera:
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mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
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else:
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mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
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# 相机模式切换成连续采集
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mvsdk.CameraSetTriggerMode(hCamera, 0)
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# 手动曝光，曝光时间30ms
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mvsdk.CameraSetAeState(hCamera, 0)
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mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
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# 让SDK内部取图线程开始工作
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mvsdk.CameraPlay(hCamera)
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# 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
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FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
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# 分配RGB buffer，用来存放ISP输出的图像
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# 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）
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pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
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while (cv2.waitKey(1) & 0xFF) != ord('q'):
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# 从相机取一帧图片
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try:
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pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200)
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mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
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mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
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# 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
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# linux下直接输出正的，不需要上下翻转
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if platform.system() == "Windows":
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mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
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# 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
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# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
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frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
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frame = np.frombuffer(frame_data, dtype=np.uint8)
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frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
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frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
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cv2.imshow("Press q to end", frame)
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except mvsdk.CameraException as e:
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if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
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print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
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# 关闭相机
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mvsdk.CameraUnInit(hCamera)
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# 释放帧缓存
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mvsdk.CameraAlignFree(pFrameBuffer)
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def main():
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try:
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main_loop()
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finally:
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cv2.destroyAllWindows()
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main()
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127
python demo/cv_grab2.py
Normal file
127
python demo/cv_grab2.py
Normal file
@@ -0,0 +1,127 @@
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#coding=utf-8
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import cv2
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import numpy as np
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import mvsdk
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import platform
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class Camera(object):
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def __init__(self, DevInfo):
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super(Camera, self).__init__()
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self.DevInfo = DevInfo
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self.hCamera = 0
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self.cap = None
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self.pFrameBuffer = 0
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def open(self):
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if self.hCamera > 0:
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return True
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# 打开相机
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hCamera = 0
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try:
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hCamera = mvsdk.CameraInit(self.DevInfo, -1, -1)
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except mvsdk.CameraException as e:
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print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
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return False
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# 获取相机特性描述
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cap = mvsdk.CameraGetCapability(hCamera)
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# 判断是黑白相机还是彩色相机
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monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
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# 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
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if monoCamera:
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mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
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else:
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mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
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# 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
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FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
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# 分配RGB buffer，用来存放ISP输出的图像
|
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# 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）
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pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
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# 相机模式切换成连续采集
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mvsdk.CameraSetTriggerMode(hCamera, 0)
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# 手动曝光，曝光时间30ms
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mvsdk.CameraSetAeState(hCamera, 0)
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mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
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# 让SDK内部取图线程开始工作
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mvsdk.CameraPlay(hCamera)
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self.hCamera = hCamera
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self.pFrameBuffer = pFrameBuffer
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self.cap = cap
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return True
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def close(self):
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if self.hCamera > 0:
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mvsdk.CameraUnInit(self.hCamera)
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self.hCamera = 0
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mvsdk.CameraAlignFree(self.pFrameBuffer)
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self.pFrameBuffer = 0
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def grab(self):
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# 从相机取一帧图片
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hCamera = self.hCamera
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pFrameBuffer = self.pFrameBuffer
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try:
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pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200)
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mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
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mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
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# 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
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# linux下直接输出正的，不需要上下翻转
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if platform.system() == "Windows":
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mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
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# 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
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# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
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frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
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frame = np.frombuffer(frame_data, dtype=np.uint8)
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frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
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return frame
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except mvsdk.CameraException as e:
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if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
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print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
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return None
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def main_loop():
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# 枚举相机
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DevList = mvsdk.CameraEnumerateDevice()
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nDev = len(DevList)
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if nDev < 1:
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print("No camera was found!")
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return
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for i, DevInfo in enumerate(DevList):
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print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
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cams = []
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for i in map(lambda x: int(x), raw_input("Select cameras: ").split()):
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cam = Camera(DevList[i])
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if cam.open():
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cams.append(cam)
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while (cv2.waitKey(1) & 0xFF) != ord('q'):
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for cam in cams:
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frame = cam.grab()
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if frame is not None:
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frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
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cv2.imshow("{} Press q to end".format(cam.DevInfo.GetFriendlyName()), frame)
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for cam in cams:
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cam.close()
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def main():
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try:
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main_loop()
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finally:
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cv2.destroyAllWindows()
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main()
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110
python demo/cv_grab_callback.py
Normal file
110
python demo/cv_grab_callback.py
Normal file
@@ -0,0 +1,110 @@
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#coding=utf-8
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import cv2
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import numpy as np
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import mvsdk
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import time
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import platform
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class App(object):
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def __init__(self):
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super(App, self).__init__()
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self.pFrameBuffer = 0
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self.quit = False
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def main(self):
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# 枚举相机
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DevList = mvsdk.CameraEnumerateDevice()
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nDev = len(DevList)
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if nDev < 1:
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print("No camera was found!")
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return
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for i, DevInfo in enumerate(DevList):
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print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
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i = 0 if nDev == 1 else int(input("Select camera: "))
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DevInfo = DevList[i]
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print(DevInfo)
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# 打开相机
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hCamera = 0
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try:
|
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hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
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except mvsdk.CameraException as e:
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print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
|
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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)
|
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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)
|
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|
||||
# 设置采集回调函数
|
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self.quit = False
|
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mvsdk.CameraSetCallbackFunction(hCamera, self.GrabCallback, 0)
|
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|
||||
# 等待退出
|
||||
while not self.quit:
|
||||
time.sleep(0.1)
|
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|
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# 关闭相机
|
||||
mvsdk.CameraUnInit(hCamera)
|
||||
|
||||
# 释放帧缓存
|
||||
mvsdk.CameraAlignFree(self.pFrameBuffer)
|
||||
|
||||
@mvsdk.method(mvsdk.CAMERA_SNAP_PROC)
|
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def GrabCallback(self, hCamera, pRawData, pFrameHead, pContext):
|
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FrameHead = pFrameHead[0]
|
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pFrameBuffer = self.pFrameBuffer
|
||||
|
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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()
|
||||
111
python demo/grab.py
Normal file
111
python demo/grab.py
Normal 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()
|
||||
2454
python demo/mvsdk.py
Normal file
2454
python demo/mvsdk.py
Normal file
File diff suppressed because it is too large
Load Diff
4
python demo/readme.txt
Normal file
4
python demo/readme.txt
Normal 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
|
||||
Reference in New Issue
Block a user