numpy.ndarray 对象没有属性 'read'（和 'seek'）

Question

我收到错误 numpy.ndarray object has no attribute 'read' 和 numpy.ndarray object has no attribute 'seek'。我试图在网上寻找答案，但我失败了。

我想做的是检测视频中的对象 - 在本例中我想检测斑马。

我使用了一个图像检测器，我正在尝试将它应用到视频中。我试图遍历视频的每一帧并最终将帧传递给函数 draw_boxes.

错误信息如下：

Traceback (most recent call last):
  File "/Users/ysquared/Library/Python/3.7/lib/python/site-packages/PIL/Image.py", line 2770, in open
    fp.seek(0)
AttributeError: 'numpy.ndarray' object has no attribute 'seek'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<string>", line 204, in <module>
  File "<string>", line 118, in load_image_pixels
  File "/Users/ysquared/Library/Python/3.7/lib/python/site-packages/keras_preprocessing/image/utils.py", line 110, in load_img
    img = pil_image.open(path)
  File "/Users/ysquared/Library/Python/3.7/lib/python/site-packages/PIL/Image.py", line 2772, in open
    fp = io.BytesIO(fp.read())
AttributeError: 'numpy.ndarray' object has no attribute 'read'

这里是相关代码：

model = load_model('model.h5')

# define the expected input shape for the model
input_w, input_h = 416, 416

# define the anchors
anchors = [[116,90, 156,198, 373,326], [30,61, 62,45, 59,119], [10,13, 16,30, 33,23]]

# define the labels
labels = ["person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck",
        "boat", "traffic light", "fire hydrant", "stop sign", "parking meter", "bench",
        "bird", "cat", "dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe",
        "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee", "skis", "snowboard",
        "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
        "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana",
        "apple", "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake",
        "chair", "sofa", "pottedplant", "bed", "diningtable", "toilet", "tvmonitor", "laptop", "mouse",
        "remote", "keyboard", "cell phone", "microwave", "oven", "toaster", "sink", "refrigerator",
        "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"]

vs = cv2.VideoCapture('Zebras.mp4')
fourcc = cv2.VideoWriter_fourcc(*'XVID')
writer = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))

class_threshold = 0.6
boxes = list()

while True:
    (grabbed, frame) = vs.read()

    if grabbed==True:

        image, image_w, image_h = load_image_pixels(frame, (input_w, input_h))
        yhat = model.predict(image)

        for i in range(len(yhat)):
            # decode the output of the network
            boxes += decode_netout(yhat[i][0], anchors[i], class_threshhold, input_h, input_w)
         # correct the sizes of the bounding boxes for the shape of the image
        correct_yolo_boxes(boxes, image_h, image_w, input_h, input_w)
         # suppress non-maximal boxes
        do_nms(boxes, 0.5)

         # get the details of the detected objects
        v_boxes, v_labels, v_scores = get_boxes(boxes, labels, class_threshold)

         # draw what we found
        frame = draw_boxes(frame, v_boxes, v_labels, v_scores)

        writer.write(frame)

        cv2.imshow('frame', frame)

        if cv2.waitkey(1) & 0xFF == ord('q'):
            break

    else:
        break

vs.release()

writer.release()

cv2.destroyAllWindows()

Answer 1

seek 和 read 是打开的文件可以做的事情。我从回溯中推断出这个错误发生在

image, image_w, image_h = load_image_pixels(frame, (input_w, input_h))

行，问题一定在 frame 参数中。该函数需要打开的文件或文件名，但 frame 显然是 numpy 数组。它在上面定义：

(grabbed, frame) = vs.read()

所以它是来自 mp4 的一个帧，一个数组，而不是一个文件。

所以要么你需要给load_image_pixels一个文件名，要么你需要使用一些其他函数来处理frame数组。

一般的网络搜索对解决此类错误没有帮助。它既过于宽泛又过于具体。

no attribute Python 中的错误很常见。这意味着此时的对象与程序员的意图不同 class 。例如，如果 cv 读取找不到文件，它会 returns 一个 None，而不是图像。您不能像处理图像一样处理 None。但是您使用数组而不是文件名的特定组合是独一无二的。

在进行网络搜索之前，请尝试了解错误发生的位置以及涉及的变量。检查它的实际性质（类型、形状等）和代码的期望，被调用的函数。

Answer 2

这是我解决问题的方法（即消除错误）：


##[..] 
cv2.imwrite("framex.jpg", frame)
filename = "framex.jpg"

image, image_w, image_h = load_image_pixels(filename, (input_w, input_h))

##[..]

frame = draw_boxes(filename, v_boxes, v_labels, v_scores)

##[..]

numpy.ndarray 对象没有属性 'read'（和 'seek'）

numpy.ndarray object has no attribute 'read'(and 'seek')

python

numpy

object-detection

deep-learning