Question

我正在使用的代码的URL为： https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/camera.html

在此代码中，当检测到物体时会附加分数。我不希望分数出现在图像上。但是标签应该在一定的分数阈值之后出现。我正在Windows 10上工作。仅必须显示框和标签，而不是分数。

import os
import cv2
import numpy as np
import tensorflow as tf
import sys


sys.path.append("..")


from utils import label_map_util
from utils import visualization_utils as vis_util


MODEL_NAME = 'inference_graph'


CWD_PATH = os.getcwd()


PATH_TO_CKPT = os.path.join(CWD_PATH,MODEL_NAME,'frozen_inference_graph.pb')


PATH_TO_LABELS = os.path.join(CWD_PATH,'training','labelmap.pbtxt')


NUM_CLASSES = 6


label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
category_index = label_map_util.create_category_index(categories)


detection_graph = tf.Graph()
with detection_graph.as_default():
    od_graph_def = tf.GraphDef()
    with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
        serialized_graph = fid.read()
        od_graph_def.ParseFromString(serialized_graph)
        tf.import_graph_def(od_graph_def, name='')

    sess = tf.Session(graph=detection_graph)



image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')


detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')


detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')
detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')


num_detections = detection_graph.get_tensor_by_name('num_detections:0')


video = cv2.VideoCapture(0)
ret = video.set(3,1280)
ret = video.set(4,720)

while(True):


    ret, frame = video.read()
    frame_expanded = np.expand_dims(frame, axis=0)

        (boxes, scores, classes, num) = sess.run(
        [detection_boxes, detection_scores, detection_classes, num_detections],
        feed_dict={image_tensor: frame_expanded})

    # Draw the results of the detection (aka 'visulaize the results')
    vis_util.visualize_boxes_and_labels_on_image_array(
        frame,
        np.squeeze(boxes),
        np.squeeze(classes).astype(np.int32),
        np.squeeze(scores),
        category_index,
        use_normalized_coordinates=True,
        line_thickness=8,
        min_score_thresh=0.60)

    # All the results have been drawn on the frame, so it's time to display it.
    cv2.imshow('Object detector', frame)

    # Press 'q' to quit
    if cv2.waitKey(1) == ord('q'):
        break

# Clean up
video.release()
cv2.destroyAllWindows()

如何在使用TensorFlow的网络摄像头检测到的图像上不显示分数

0 个答案: