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