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from __future__ import absolute_import |
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from __future__ import division |
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from __future__ import print_function |
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import numpy as np |
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import os |
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import sys |
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__dir__ = os.path.dirname(os.path.abspath(__file__)) |
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sys.path.append(__dir__) |
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sys.path.insert(0, os.path.abspath(os.path.join(__dir__, '..'))) |
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os.environ["FLAGS_allocator_strategy"] = 'auto_growth' |
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import cv2 |
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import json |
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import paddle |
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from ppocr.data import create_operators, transform |
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from ppocr.modeling.architectures import build_model |
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from ppocr.postprocess import build_post_process |
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from ppocr.utils.save_load import load_model |
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from ppocr.utils.utility import get_image_file_list |
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import tools.program as program |
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from PIL import Image, ImageDraw, ImageFont |
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import math |
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def draw_e2e_res_for_chinese(image, |
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boxes, |
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txts, |
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config, |
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img_name, |
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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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import random |
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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 idx, (box, txt) in enumerate(zip(boxes, txts)): |
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box = np.array(box) |
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box = [tuple(x) for x in box] |
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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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draw_right.polygon(box, outline=color) |
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font = ImageFont.truetype(font_path, 15, encoding="utf-8") |
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draw_right.text([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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img_show = Image.new('RGB', (w * 2, h), (255, 255, 255)) |
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img_show.paste(img_left, (0, 0, w, h)) |
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img_show.paste(img_right, (w, 0, w * 2, h)) |
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save_e2e_path = os.path.dirname(config['Global'][ |
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'save_res_path']) + "/e2e_results/" |
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if not os.path.exists(save_e2e_path): |
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os.makedirs(save_e2e_path) |
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save_path = os.path.join(save_e2e_path, os.path.basename(img_name)) |
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cv2.imwrite(save_path, np.array(img_show)[:, :, ::-1]) |
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logger.info("The e2e Image saved in {}".format(save_path)) |
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def draw_e2e_res(dt_boxes, strs, config, img, img_name): |
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if len(dt_boxes) > 0: |
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src_im = img |
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for box, str in zip(dt_boxes, strs): |
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box = box.astype(np.int32).reshape((-1, 1, 2)) |
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cv2.polylines(src_im, [box], True, color=(255, 255, 0), thickness=2) |
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cv2.putText( |
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src_im, |
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str, |
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org=(int(box[0, 0, 0]), int(box[0, 0, 1])), |
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fontFace=cv2.FONT_HERSHEY_COMPLEX, |
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fontScale=0.7, |
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color=(0, 255, 0), |
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thickness=1) |
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save_det_path = os.path.dirname(config['Global'][ |
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'save_res_path']) + "/e2e_results/" |
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if not os.path.exists(save_det_path): |
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os.makedirs(save_det_path) |
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save_path = os.path.join(save_det_path, os.path.basename(img_name)) |
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cv2.imwrite(save_path, src_im) |
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logger.info("The e2e Image saved in {}".format(save_path)) |
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def main(): |
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global_config = config['Global'] |
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model = build_model(config['Architecture']) |
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load_model(config, model) |
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post_process_class = build_post_process(config['PostProcess'], |
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global_config) |
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transforms = [] |
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for op in config['Eval']['dataset']['transforms']: |
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op_name = list(op)[0] |
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if 'Label' in op_name: |
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continue |
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elif op_name == 'KeepKeys': |
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op[op_name]['keep_keys'] = ['image', 'shape'] |
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transforms.append(op) |
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ops = create_operators(transforms, global_config) |
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save_res_path = config['Global']['save_res_path'] |
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if not os.path.exists(os.path.dirname(save_res_path)): |
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os.makedirs(os.path.dirname(save_res_path)) |
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model.eval() |
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with open(save_res_path, "wb") as fout: |
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for file in get_image_file_list(config['Global']['infer_img']): |
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logger.info("infer_img: {}".format(file)) |
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with open(file, 'rb') as f: |
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img = f.read() |
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data = {'image': img} |
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batch = transform(data, ops) |
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images = np.expand_dims(batch[0], axis=0) |
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shape_list = np.expand_dims(batch[1], axis=0) |
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images = paddle.to_tensor(images) |
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preds = model(images) |
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post_result = post_process_class(preds, shape_list) |
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points, strs = post_result['points'], post_result['texts'] |
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dt_boxes_json = [] |
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for poly, str in zip(points, strs): |
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tmp_json = {"transcription": str} |
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tmp_json['points'] = poly.tolist() |
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dt_boxes_json.append(tmp_json) |
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otstr = file + "\t" + json.dumps(dt_boxes_json) + "\n" |
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fout.write(otstr.encode()) |
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src_img = cv2.imread(file) |
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if global_config['infer_visual_type'] == 'EN': |
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draw_e2e_res(points, strs, config, src_img, file) |
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elif global_config['infer_visual_type'] == 'CN': |
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src_img = Image.fromarray( |
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cv2.cvtColor(src_img, cv2.COLOR_BGR2RGB)) |
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draw_e2e_res_for_chinese( |
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src_img, |
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points, |
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strs, |
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config, |
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file, |
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font_path="./doc/fonts/simfang.ttf") |
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logger.info("success!") |
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if __name__ == '__main__': |
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config, device, logger, vdl_writer = program.preprocess() |
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main() |
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