如何在十进制图像中检测目标位置

Question

我是Tensorflow的新手，正在寻找样本对象检测代码。{a1}是其中之一

我只是不知道如何才能得到图像中被检测到的数组的精确坐标（位置）。在

谢谢

Answer 1

确切的答案是： Get the bounding box coordinates in the TensorFlow object detection API tutorial

在此之后：

out = vis_util.visualize_boxes_and_labels_on_image_array(
image,
np.squeeze(boxes),
np.squeeze(classes).astype(np.int32),
np.squeeze(scores),
category_index,
use_normalized_coordinates=True,
line_thickness=1,
min_score_thresh=0.80)

职位是：

^{pr2}$

谢谢rootkitchao

Answer 2

# Run the model
    out = sess.run([sess.graph.get_tensor_by_name('num_detections:0'),
                    sess.graph.get_tensor_by_name('detection_scores:0'),
                    sess.graph.get_tensor_by_name('detection_boxes:0'),
                    sess.graph.get_tensor_by_name('detection_classes:0')],
                   feed_dict={'image_tensor:0': inp.reshape(1, inp.shape[0], inp.shape[1], 3)})

     # Visualize detected bounding boxes.
    num_detections = int(out[0][0])
    for i in range(num_detections):
        classId = int(out[3][0][i])
        score = float(out[1][0][i])
        bbox = [float(v) for v in out[2][0][i]]