mirror of
https://github.com/elephantrobotics/mycobot_ros.git
synced 2026-07-05 19:47:04 +00:00
143 lines
4.1 KiB
Python
143 lines
4.1 KiB
Python
# coding:utf-8
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from fileinput import filename
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import os, cv2, sys
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def take_photo():
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# 提醒用户操作字典
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print("************************************************")
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print("* 热键(请在摄像头的窗口使用): *")
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print("* hotkey(please use it in the camera window): *")
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print("* z: 拍摄图片(take picture) *")
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print("* q: 退出(quit) *")
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print("************************************************")
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# 创建/使用local_photo文件夹
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class_name = "res"
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if (os.path.exists("res")):
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pass
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else:
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os.mkdir(class_name)
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# 设置特定值
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index = 'takephoto'
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cap = cv2.VideoCapture(0)
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cap.set(3,640)
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cap.set(4, 480)
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while True:
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# 读入每一帧
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ret, frame = cap.read()
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cv2.imshow("capture", frame)
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# 存储
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input = cv2.waitKey(1) & 0xFF
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# 拍照
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if input == ord('z'):
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cv2.imwrite(
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"%s/%s.jpeg" % (class_name, index),
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cv2.resize(frame, (600, 480), interpolation=cv2.INTER_AREA))
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break
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# 退出
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if input == ord('q'):
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# 关闭窗口
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cap.release()
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cv2.destroyAllWindows()
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sys.exit()
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def cut_photo():
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path1 = '/home/er/catkin_ws/src/mycobot_ros/mycobot_ai/aikit_280_pi' # pi
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path2 = r'D:/BaiduSyncdisk/PythonProject/OpenCV' # m5
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if os.path.exists(path1):
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path = path1
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elif os.path.exists(path2):
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path = path2
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else:
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print("invalid file path! Please check whether the file path exists or modify it!")
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path_red = path + '/res/A'
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for i, j, k in os.walk(path_red):
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file_len_red = len(k)
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path_gray = path + '/res/B'
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for i, j, k in os.walk(path_gray):
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file_len_gray = len(k)
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path_green = path + '/res/C'
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for i, j, k in os.walk(path_green):
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file_len_green = len(k)
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path_blue = path + '/res/D'
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for i, j, k in os.walk(path_blue):
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file_len_blue = len(k)
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print("请截取要识别的部分")
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print("Please intercept the part to be identified")
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# root = tk.Tk()
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# root.withdraw()
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# temp1=filedialog.askopenfilename(parent=root) #rgb
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# temp2=Image.open(temp1,mode='r')
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# temp2= cv.cvtColor(np.asarray(temp2),cv.COLOR_RGB2BGR)
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# cut = np.array(temp2)
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cut = cv2.imread(r"res/takephoto.jpeg")
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cv2.imshow('original', cut)
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# C:\Users\Elephant\Desktop\pymycobot+opencv\local_photo/takephoto.jpeg
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# 选择ROI
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roi = cv2.selectROI(windowName="original",
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img=cut,
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showCrosshair=False,
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fromCenter=False)
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x, y, w, h = roi
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print(roi)
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msg = """\
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Image save location:
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1 - 保存至A分拣区文件夹 Save to A folder
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2 - 保存至B分拣区文件夹 Save to B folder
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3 - 保存至C分拣区文件夹 Save to C folder
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4 - 保存至D分拣区文件夹 Save to D folder
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"""
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print(msg)
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kw = int(input("请输入保存图片文件夹数字编号(Please enter the number of the folder to save the picture):"))
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# print(kw)
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# 显示ROI并保存图片
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if roi != (0, 0, 0, 0):
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crop = cut[y:y + h, x:x + w]
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# cv2.imshow('crop', crop)
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# 选择D区文件夹
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if kw == 1:
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cv2.imwrite(path + '/res/A/goal{}.jpeg'.format(str(file_len_red + 1)),crop)
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print('Saved')
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# 选择B区文件夹
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elif kw == 2:
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cv2.imwrite(path + '/res/B/goal{}.jpeg'.format(str(file_len_gray+1)),crop)
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print('Saved')
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# 选择C区文件夹
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elif kw == 3:
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cv2.imwrite(path + '/res/C/goal{}.jpeg'.format(str(file_len_green+1)),crop)
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print('Saved')
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# 选择A区文件夹
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elif kw == 4:
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cv2.imwrite(path + '/res/D/goal{}.jpeg'.format(str(file_len_blue+1)),crop)
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print('Saved')
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# 退出
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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if __name__ == "__main__":
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take_photo()
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cut_photo()
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