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OSError: [Errno 12] Cannot allocate memory.
27 def train_data_generator(): 28 image_data_list = [] 29 label = [] 30 progress = 0 31 pos_file_list = os.listdir(pos_image_path) 32 neg_file_list = os.listdir(neg_image_path) 33 while True: 34 for i in range(sample_num): 35 url = os.path.join(pos_image_path +'/' + pos_file_list[i]) 36 image = load_img(url, target_size=(128, 128)) 37 image_data_list.append(img_to_array(image)) 38 label.append(1) 39 image.close() 40 progress = progress + 1 41 url = os.path.join(neg_image_path + '/' + neg_file_list[i]) 42 image = load_img(url, target_size=(128, 128)) 43 image_data_list.append(img_to_array(image)) 44 label.append(0) 45 image.close() 46 progress = progress + 1 47 if progress == fit_gen_batch_size: 48 img_data = np.array(image_data_list) 49 img_data = img_data.astype('float32') 50 img_data /= 255 51 #print("generator image_data=",len(img_data),"label=",len(label)) 52 yield img_data, label 53 label.clear() 54 img_data[:]=0 55 image_data_list.clear() 56 progress = 0 57 gc.collect()
The text was updated successfully, but these errors were encountered:
Is there some code cause memory leak ?
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OSError: [Errno 12] Cannot allocate memory.
27 def train_data_generator():
28 image_data_list = []
29 label = []
30 progress = 0
31 pos_file_list = os.listdir(pos_image_path)
32 neg_file_list = os.listdir(neg_image_path)
33 while True:
34 for i in range(sample_num):
35 url = os.path.join(pos_image_path +'/' + pos_file_list[i])
36 image = load_img(url, target_size=(128, 128))
37 image_data_list.append(img_to_array(image))
38 label.append(1)
39 image.close()
40 progress = progress + 1
41 url = os.path.join(neg_image_path + '/' + neg_file_list[i])
42 image = load_img(url, target_size=(128, 128))
43 image_data_list.append(img_to_array(image))
44 label.append(0)
45 image.close()
46 progress = progress + 1
47 if progress == fit_gen_batch_size:
48 img_data = np.array(image_data_list)
49 img_data = img_data.astype('float32')
50 img_data /= 255
51 #print("generator image_data=",len(img_data),"label=",len(label))
52 yield img_data, label
53 label.clear()
54 img_data[:]=0
55 image_data_list.clear()
56 progress = 0
57 gc.collect()
The text was updated successfully, but these errors were encountered: