def preprocess(fname):
# return fname
image = cv2.imread(fname)
im_data = np.expand_dims(
yolo_utils.preprocess_test((image, None, cfg.multi_scale_inp_size),
0)[0], 0)
return image, im_data
def preprocess(fname):
# return fname
# read the pic fname is the path of pic
# ipdb.set_trace()
image = cv2.imread(fname)
im_data = np.expand_dims(
yolo_utils.preprocess_test((image, None, cfg.multi_scale_inp_size), 0)[0], 0)
return image, im_data
def preprocess(self, content, method='nparray'):
image = 0
if method == 'path':
image = cv2.imread(content)
elif method == 'nparray':
image = content
else:
print('\n\nError in preprocess\n\n')
#yolo_utils.preprocess_test((image, none, cfg.multi_scale_inp_size), 0)将图像转换到RGB空间,resize到(320, 320),值归一化到(0,1)返回的0号元素为处理后图像,4号元素为原图拷贝
im_data = np.expand_dims(
yolo_utils.preprocess_test((image, None, cfg.multi_scale_inp_size),
0)[0], 0)
#im_data被转换为(1,3,320,320)归一化np矩阵
return image, im_data
def preprocess(fname):
# return fname
image = cv2.imread(fname)
im_data = np.expand_dims(yolo_utils.preprocess_test(image, cfg.inp_size),
0)
return image, im_data
def preprocess(filename):
image = cv2.imread(filename)
im_data = np.expand_dims(
yolo_utils.preprocess_test((image, None, cfg.inp_size))[0], 0)
return image, im_data
def preprocess(camera):
_, image = camera.read()
im_data = np.expand_dims(
yolo_utils.preprocess_test((image, None, cfg.inp_size))[0], 0)
return image, im_data
def get_ImData(fname):
im_data = np.expand_dims(
yolo_utils.preprocess_test((fname, None, cfg.inp_size))[0], 0)
return im_data
def preprocess(frame):
# return fname
image = frame
im_data = np.expand_dims(
yolo_utils.preprocess_test((frame, None, cfg.inp_size))[0], 0)
return image, im_data
def preprocess(fname):
# return fname
image = cv2.imread(fname)
im_data = np.expand_dims(
yolo_utils.preprocess_test((image, None, cfg.multi_scale_inp_size), 0)[0], 0)
return image, im_data
