Question

嗨，

我正在使用Jetson Nano和Raspberry Pi相机模块V2，并且希望运行有关YOLO +对象检测的课程中的代码。

当我尝试使用Spyder（python 3.6）运行代码时，会发生此错误：

文件“ /home/dlinano/Documents/Python/UdemyTrainingYOLO/activity-1/detecting-object.py”，第44行， frame_HSV = cv2.cvtColor（frame_BGR，cv2.COLOR_BGR2HSV）

错误：OpenCV（4.1.1）/home/nvidia/host/build_opencv/nv_opencv/modules/imgproc/src/color.cpp:182：错误：（-215：断言失败）！_src.empty （）在函数“ cvtColor”中

这是代码：

# Detecting Object with chosen Colour Mask
#
# Algorithm:
# Reading RGB image --> Converting to HSV --> Implementing Mask -->
# --> Finding Contour Points --> Extracting Rectangle Coordinates -->
# --> Drawing Bounding Box --> Putting Label
#
# Result:
# Window with Detected Object, Bounding Box and Label in Real Time
# Importing needed library
import cv2

# Defining lower bounds and upper bounds of founded Mask
min_blue, min_green, min_red = 21, 222, 70
max_blue, max_green, max_red = 176, 255, 255

# Getting version of OpenCV that is currently used
# Converting string into the list by dot as separator
# and getting first number
v = cv2.__version__.split('.')[0]

# Defining object for reading video from camera
camera = cv2.VideoCapture(0)


# Defining loop for catching frames
while True:
    # Capture frame-by-frame from camera
    _, frame_BGR = camera.read()

    # Converting current frame to HSV
    frame_HSV = cv2.cvtColor(frame_BGR, cv2.COLOR_BGR2HSV)

    # Implementing Mask with founded colours from Track Bars to HSV Image
    mask = cv2.inRange(frame_HSV,
                       (min_blue, min_green, min_red),
                       (max_blue, max_green, max_red))

    # Showing current frame with implemented Mask
    # Giving name to the window with Mask
    # And specifying that window is resizable
    cv2.namedWindow('Binary frame with Mask', cv2.WINDOW_NORMAL)
    cv2.imshow('Binary frame with Mask', mask)

    # Finding Contours
    # Pay attention!
    # Different versions of OpenCV returns different number of parameters
    # when using function cv2.findContours()

    # In OpenCV version 3 function cv2.findContours() returns three parameters:
    # modified image, found Contours and hierarchy
    # All found Contours from current frame are stored in the list
    # Each individual Contour is a Numpy array of(x, y) coordinates
    # of the boundary points of the Object
    # We are interested only in Contours

    # Checking if OpenCV version 3 is used
    if v == '3':
        _, contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)

    # In OpenCV version 4 function cv2.findContours() returns two parameters:
    # found Contours and hierarchy
    # All found Contours from current frame are stored in the list
    # Each individual Contour is a Numpy array of(x, y) coordinates
    # of the boundary points of the Object
    # We are interested only in Contours

    # Checking if OpenCV version 4 is used
    else:
        contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)

    # Finding the biggest Contour by sorting from biggest to smallest
    contours = sorted(contours, key=cv2.contourArea, reverse=True)

    # Extracting Coordinates of the biggest Contour if any was found
    if contours:
        # Getting rectangle coordinates and spatial size from biggest Contour
        # Function cv2.boundingRect() is used to get an approximate rectangle
        # around the region of interest in the binary image after Contour was found
        (x_min, y_min, box_width, box_height) = cv2.boundingRect(contours[0])

        # Drawing Bounding Box on the current BGR frame
        cv2.rectangle(frame_BGR, (x_min - 15, y_min - 15),
                      (x_min + box_width + 15, y_min + box_height + 15),
                      (0, 0, 255), 3)

        # Preparing text for the Label
        label = 'Detected Object'

        # Putting text with Label on the current BGR frame
        cv2.putText(frame_BGR, label, (x_min - 5, y_min - 25),
                    cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 0, 255), 2)

    # Showing current BGR frame with Detected Object
    # Giving name to the window with Detected Object
    # And specifying that window is resizable
    cv2.namedWindow('Detected Object', cv2.WINDOW_NORMAL)
    cv2.imshow('Detected Object', frame_BGR)

    # Breaking the loop if 'q' is pressed
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Destroying all opened windows
cv2.destroyAllWindows()

我已经检查了以下内容：

1。） dlinano @ jetson-nano：〜$ ls -l / dev / video0 crw-rw ---- + 1个根视频81，3月21日0:56 / dev / video0 （我认为这很好）

2。） gst-launch-1.0 nvarguscamerasrc sensor_mode = 0！ ‘video / x-raw（内存：NVMM），宽度= 3820，高度= 2464，帧速率= 21/1，格式= NV12”！ nvvidconv flip-method = 0！ “ video / x-raw，width = 960，height = 616”！ nvvidconv！ nvegltransform！ nveglglessink -e （一切正常，图像质量也不错）

3。）在装有Spyder（python 3.6）的Windows 10笔记本和车载摄像头的笔记本上运行相同的代码：结果：一切正常

有人可以帮助我吗？

BR克里斯

错误：（-215：断言失败）使用Jetson Nano和Raspberry Pi摄像头模块V2时，函数'cvtColor'中的！_src.empty（）

0 个答案: