From e696c7906dbbe23e7f4fa731d87d208e6ce9fd8f Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Wed, 2 Dec 2020 15:53:55 +0800 Subject: [PATCH] delete debug code --- tools/infer/predict_system.py | 19 ++++++++----------- 1 file changed, 8 insertions(+), 11 deletions(-) diff --git a/tools/infer/predict_system.py b/tools/infer/predict_system.py index 7ebe3ec3..ae660fde 100755 --- a/tools/infer/predict_system.py +++ b/tools/infer/predict_system.py @@ -76,12 +76,12 @@ class TextSystem(object): bbox_num = len(img_crop_list) for bno in range(bbox_num): cv2.imwrite("./output/img_crop_%d.jpg" % bno, img_crop_list[bno]) - print(bno, rec_res[bno]) + logger.info(bno, rec_res[bno]) def __call__(self, img): ori_im = img.copy() dt_boxes, elapse = self.text_detector(img) - print("dt_boxes num : {}, elapse : {}".format(len(dt_boxes), elapse)) + logger.info("dt_boxes num : {}, elapse : {}".format(len(dt_boxes), elapse)) if dt_boxes is None: return None, None img_crop_list = [] @@ -92,17 +92,14 @@ class TextSystem(object): tmp_box = copy.deepcopy(dt_boxes[bno]) img_crop = self.get_rotate_crop_image(ori_im, tmp_box) img_crop_list.append(img_crop) - cv2.imwrite( - '/home/zhoujun20/dygraph/PaddleOCR_rc/inference_results/{}.jpg'. - format(bno), img_crop) if self.use_angle_cls: img_crop_list, angle_list, elapse = self.text_classifier( img_crop_list) - print("cls num : {}, elapse : {}".format( + logger.info("cls num : {}, elapse : {}".format( len(img_crop_list), elapse)) rec_res, elapse = self.text_recognizer(img_crop_list) - print("rec_res num : {}, elapse : {}".format(len(rec_res), elapse)) + logger.info("rec_res num : {}, elapse : {}".format(len(rec_res), elapse)) # self.print_draw_crop_rec_res(img_crop_list, rec_res) return dt_boxes, rec_res @@ -133,6 +130,7 @@ def main(args): text_sys = TextSystem(args) is_visualize = True font_path = args.vis_font_path + drop_score = args.drop_score for image_file in image_file_list: img, flag = check_and_read_gif(image_file) if not flag: @@ -143,15 +141,14 @@ def main(args): starttime = time.time() dt_boxes, rec_res = text_sys(img) elapse = time.time() - starttime - print("Predict time of %s: %.3fs" % (image_file, elapse)) + logger.info("Predict time of %s: %.3fs" % (image_file, elapse)) - drop_score = 0.5 dt_num = len(dt_boxes) for dno in range(dt_num): text, score = rec_res[dno] if score >= drop_score: text_str = "%s, %.3f" % (text, score) - print(text_str) + logger.info(text_str) if is_visualize: image = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) @@ -172,7 +169,7 @@ def main(args): cv2.imwrite( os.path.join(draw_img_save, os.path.basename(image_file)), draw_img[:, :, ::-1]) - print("The visualized image saved in {}".format( + logger.info("The visualized image saved in {}".format( os.path.join(draw_img_save, os.path.basename(image_file)))) -- GitLab