相关疑难解决方法(0)

错误: (-2:Unspecified error) 函数未实现。使用 Windows、GTK+ 2.x 或 Cocoa 支持重建库

我正在 jupyter notebook 上进行手语检测项目。在运行实时检测代码时,我遇到了如下所示的错误:

OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-1drr4hl0\opencv\modules\highgui\src\window.cpp:651: 错误: (-2:Unspecified错误)该功能未实现。使用 Windows、GTK+ 2.x 或 Cocoa 支持重建库。如果您使用的是 Ubuntu 或 Debian,请安装 libgtk2.0-dev 和 pkg-config,然后重新运行 cmake 或在函数 'cvShowImage' 中配置脚本

尽管尝试了我在网上找到的许多解决方案,但我仍然遇到相同的错误。

遇到错误的代码是:while True: ret, frame = cap.read() image_np = np.array(frame)

input_tensor = tf.convert_to_tensor(np.expand_dims(image_np, 0), dtype=tf.float32)
detections = detect_fn(input_tensor)

num_detections = int(detections.pop('num_detections'))
detections = {key: value[0, :num_detections].numpy()
              for key, value in detections.items()}
detections['num_detections'] = num_detections

# detection_classes should be ints.
detections['detection_classes'] = detections['detection_classes'].astype(np.int64)

label_id_offset = 1
image_np_with_detections = image_np.copy()

viz_utils.visualize_boxes_and_labels_on_image_array(
            image_np_with_detections,
            detections['detection_boxes'],
            detections['detection_classes']+label_id_offset,
            detections['detection_scores'],
            category_index,
            use_normalized_coordinates=True,
            max_boxes_to_draw=5,
            min_score_thresh=.5, …
Run Code Online (Sandbox Code Playgroud)

python opencv machine-learning computer-vision tensorflow

6
推荐指数
5
解决办法
6105
查看次数