171 lines
6.0 KiB
Python
171 lines
6.0 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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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(
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image, boxes, txts, config, img_name, font_path="./doc/simfang.ttf"
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):
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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), 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"]["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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)
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save_det_path = (
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os.path.dirname(config["Global"]["save_res_path"]) + "/e2e_results/"
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)
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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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# build model
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model = build_model(config["Architecture"])
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load_model(config, model)
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# build post process
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post_process_class = build_post_process(config["PostProcess"], global_config)
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# create data ops
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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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# write result
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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(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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)
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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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