add predict_cls to predict_system
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@ -23,17 +23,21 @@ import numpy as np
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import time
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from PIL import Image
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import tools.infer.utility as utility
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from tools.infer.utility import draw_ocr
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import tools.infer.predict_rec as predict_rec
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import tools.infer.predict_det as predict_det
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import tools.infer.predict_cls as predict_cls
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from ppocr.utils.utility import get_image_file_list, check_and_read_gif
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from ppocr.utils.logging import get_logger
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from tools.infer.utility import draw_ocr_box_txt
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class TextSystem(object):
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def __init__(self, args):
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self.text_detector = predict_det.TextDetector(args)
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self.text_recognizer = predict_rec.TextRecognizer(args)
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self.use_angle_cls = args.use_angle_cls
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if self.use_angle_cls:
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self.text_classifier = predict_cls.TextClassifier(args)
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def get_rotate_crop_image(self, img, points):
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'''
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@ -88,6 +92,15 @@ class TextSystem(object):
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tmp_box = copy.deepcopy(dt_boxes[bno])
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img_crop = self.get_rotate_crop_image(ori_im, tmp_box)
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img_crop_list.append(img_crop)
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cv2.imwrite(
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'/home/zhoujun20/dygraph/PaddleOCR_rc/inference_results/{}.jpg'.
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format(bno), img_crop)
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if self.use_angle_cls:
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img_crop_list, angle_list, elapse = self.text_classifier(
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img_crop_list)
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print("cls num : {}, elapse : {}".format(
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len(img_crop_list), elapse))
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rec_res, elapse = self.text_recognizer(img_crop_list)
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print("rec_res num : {}, elapse : {}".format(len(rec_res), elapse))
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# self.print_draw_crop_rec_res(img_crop_list, rec_res)
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@ -119,7 +132,7 @@ def main(args):
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image_file_list = get_image_file_list(args.image_dir)
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text_sys = TextSystem(args)
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is_visualize = True
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tackle_img_num = 0
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font_path = args.vis_font_path
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for image_file in image_file_list:
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img, flag = check_and_read_gif(image_file)
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if not flag:
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@ -128,9 +141,6 @@ def main(args):
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logger.info("error in loading image:{}".format(image_file))
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continue
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starttime = time.time()
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tackle_img_num += 1
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if not args.use_gpu and args.enable_mkldnn and tackle_img_num % 30 == 0:
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text_sys = TextSystem(args)
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dt_boxes, rec_res = text_sys(img)
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elapse = time.time() - starttime
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print("Predict time of %s: %.3fs" % (image_file, elapse))
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@ -149,8 +159,13 @@ def main(args):
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txts = [rec_res[i][0] for i in range(len(rec_res))]
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scores = [rec_res[i][1] for i in range(len(rec_res))]
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draw_img = draw_ocr(
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image, boxes, txts, scores, drop_score=drop_score)
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draw_img = draw_ocr_box_txt(
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image,
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boxes,
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txts,
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scores,
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drop_score=drop_score,
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font_path=font_path)
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draw_img_save = "./inference_results/"
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if not os.path.exists(draw_img_save):
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os.makedirs(draw_img_save)
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@ -202,7 +202,12 @@ def draw_ocr(image,
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return image
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def draw_ocr_box_txt(image, boxes, txts):
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def draw_ocr_box_txt(image,
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boxes,
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txts,
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scores=None,
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drop_score=0.5,
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font_path="./doc/simfang.ttf"):
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h, w = image.height, image.width
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img_left = image.copy()
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img_right = Image.new('RGB', (w, h), (255, 255, 255))
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@ -212,7 +217,9 @@ def draw_ocr_box_txt(image, boxes, txts):
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random.seed(0)
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draw_left = ImageDraw.Draw(img_left)
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draw_right = ImageDraw.Draw(img_right)
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for (box, txt) in zip(boxes, txts):
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for idx, (box, txt) in enumerate(zip(boxes, txts)):
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if scores is not None and scores[idx] < drop_score:
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continue
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color = (random.randint(0, 255), random.randint(0, 255),
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random.randint(0, 255))
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draw_left.polygon(box, fill=color)
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@ -228,8 +235,7 @@ def draw_ocr_box_txt(image, boxes, txts):
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1])**2)
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if box_height > 2 * box_width:
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font_size = max(int(box_width * 0.9), 10)
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font = ImageFont.truetype(
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"./doc/simfang.ttf", font_size, encoding="utf-8")
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font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
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cur_y = box[0][1]
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for c in txt:
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char_size = font.getsize(c)
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@ -238,8 +244,7 @@ def draw_ocr_box_txt(image, boxes, txts):
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cur_y += char_size[1]
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else:
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font_size = max(int(box_height * 0.8), 10)
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font = ImageFont.truetype(
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"./doc/simfang.ttf", font_size, encoding="utf-8")
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font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
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draw_right.text(
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[box[0][0], box[0][1]], txt, fill=(0, 0, 0), font=font)
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img_left = Image.blend(image, img_left, 0.5)
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