我正在使用tensorflow对象检测API来检测对象。在我的Windows系统中运行正常。 示例代码object_detection_tutorial.ipynb每次都必须下载模型。 我必须对代码进行哪些更改，以便可以加载已经下载的模型？ 预先感谢
我尝试了以下代码
改编自Tensorflow对象检测框架的代码 https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
Tensorflow对象检测检测器
import numpy as np
import tensorflow as tf
import cv2
import time
class DetectorAPI:
def __init__(self, path_to_ckpt):
self.path_to_ckpt = path_to_ckpt
self.detection_graph = tf.Graph()
with self.detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile(self.path_to_ckpt, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
self.default_graph = self.detection_graph.as_default()
self.sess = tf.Session(graph=self.detection_graph)
# Definite input and output Tensors for detection_graph
self.image_tensor = self.detection_graph.get_tensor_by_name('image_tensor:0')
# Each box represents a part of the image where a particular object was detected.
self.detection_boxes = self.detection_graph.get_tensor_by_name('detection_boxes:0')
# Each score represent how level of confidence for each of the objects.
# Score is shown on the result image, together with the class label.
self.detection_scores = self.detection_graph.get_tensor_by_name('detection_scores:0')
self.detection_classes = self.detection_graph.get_tensor_by_name('detection_classes:0')
self.num_detections = self.detection_graph.get_tensor_by_name('num_detections:0')
def processFrame(self, image):
# Expand dimensions since the trained_model expects images to have shape: [1, None, None, 3]
image_np_expanded = np.expand_dims(image, axis=0)
# Actual detection.
start_time = time.time()
(boxes, scores, classes, num) = self.sess.run(
[self.detection_boxes, self.detection_scores, self.detection_classes, self.num_detections],
feed_dict={self.image_tensor: image_np_expanded})
end_time = time.time()
print("Elapsed Time:", end_time-start_time)
im_height, im_width,_ = image.shape
boxes_list = [None for i in range(boxes.shape[1])]
for i in range(boxes.shape[1]):
boxes_list[i] = (int(boxes[0,i,0] * im_height),
int(boxes[0,i,1]*im_width),
int(boxes[0,i,2] * im_height),
int(boxes[0,i,3]*im_width))
return boxes_list, scores[0].tolist(), [int(x) for x in classes[0].tolist()], int(num[0])
def close(self):
self.sess.close()
self.default_graph.close()
if __name__ == "__main__":
model_path ='C:\\Users\HP\Downloads\models\research\object_detection\faster_rcnn_inception_v2_coco_2018_01_28\frozen_inference_graph.pb'
odapi = DetectorAPI(path_to_ckpt=model_path)
threshold = 0.7
cap = cv2.VideoCapture(0)
while True:
r, img = cap.read()
img = cv2.resize(img, (1280, 720))
boxes, scores, classes, num = odapi.processFrame(img)
# Visualization of the results of a detection.
for i in range(len(boxes)):
# Class 1 represents human
if classes[i] == 1 and scores[i] > threshold:
box = boxes[i]
cv2.rectangle(img,(box[1],box[0]),(box[3],box[2]),(255,0,0),2)
cv2.imshow("preview", img)
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
我正在使用 Python 3.5.2 Tensorflow 1.11.0 的opencv 4.0.0 我收到此错误：
Traceback (most recent call last):
File "C:\Users\HP\Downloads\models\research\object_detection\tensorflow-human-detection.py", line 64, in <module>
odapi = DetectorAPI(path_to_ckpt=model_path)
File "C:\Users\HP\Downloads\models\research\object_detection\tensorflow-human-detection.py", line 19, in __init__
serialized_graph = fid.read()
File "C:\Users\HP\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 125, in read
self._preread_check()
File "C:\Users\HP\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 85, in _preread_check
compat.as_bytes(self.__name), 1024 * 512, status)
File "C:\Users\HP\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 526, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: NewRandomAccessFile failed to Create/Open: C:\Users\HP\Downloads\models
esearch\object_detectionaster_rcnn_inception_v2_coco_2018_01_28rozen_inference_graph.pb : The filename, directory name, or volume label syntax is incorrect.
; Unknown error