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Merge pull request #2 from RapidAI/adapt_yolo_model
Adapt yolo model
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,33 +1,33 @@ | ||
| from rapid_table_det.inference import TableDetector | ||
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| img_path = f"tests/test_files/chip2.jpg" | ||
| img_path = f"images/weixin.png" | ||
| table_det = TableDetector( | ||
| obj_model_path="rapid_table_det/models/obj_det.onnx", | ||
| edge_model_path="rapid_table_det/models/edge_det.onnx", | ||
| obj_model_type="paddle_obj_det_s", edge_model_type="paddle_edge_det_s" | ||
| ) | ||
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| result, elapse = table_det(img_path) | ||
| obj_det_elapse, edge_elapse, rotate_det_elapse = elapse | ||
| print( | ||
| f"obj_det_elapse:{obj_det_elapse}, edge_elapse={edge_elapse}, rotate_det_elapse={rotate_det_elapse}" | ||
| ) | ||
| # 输出可视化 | ||
| import os | ||
| import cv2 | ||
| from rapid_table_det.utils import img_loader, visuallize, extract_table_img | ||
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| img = img_loader(img_path) | ||
| file_name_with_ext = os.path.basename(img_path) | ||
| file_name, file_ext = os.path.splitext(file_name_with_ext) | ||
| out_dir = "rapid_table_det/outputs" | ||
| if not os.path.exists(out_dir): | ||
| os.makedirs(out_dir) | ||
| extract_img = img.copy() | ||
| for i, res in enumerate(result): | ||
| box = res["box"] | ||
| lt, rt, rb, lb = res["lt"], res["rt"], res["rb"], res["lb"] | ||
| # 带识别框和左上角方向位置 | ||
| img = visuallize(img, box, lt, rt, rb, lb) | ||
| # 透视变换提取表格图片 | ||
| wrapped_img = extract_table_img(extract_img.copy(), lt, rt, rb, lb) | ||
| cv2.imwrite(f"{out_dir}/{file_name}-extract-{i}.jpg", wrapped_img) | ||
| cv2.imwrite(f"{out_dir}/{file_name}-visualize.jpg", img) | ||
| # import os | ||
| # import cv2 | ||
| # from rapid_table_det.utils.visuallize import img_loader, visuallize, extract_table_img | ||
| # | ||
| # img = img_loader(img_path) | ||
| # file_name_with_ext = os.path.basename(img_path) | ||
| # file_name, file_ext = os.path.splitext(file_name_with_ext) | ||
| # out_dir = "rapid_table_det/outputs" | ||
| # if not os.path.exists(out_dir): | ||
| # os.makedirs(out_dir) | ||
| # extract_img = img.copy() | ||
| # for i, res in enumerate(result): | ||
| # box = res["box"] | ||
| # lt, rt, rb, lb = res["lt"], res["rt"], res["rb"], res["lb"] | ||
| # # 带识别框和左上角方向位置 | ||
| # img = visuallize(img, box, lt, rt, rb, lb) | ||
| # # 透视变换提取表格图片 | ||
| # wrapped_img = extract_table_img(extract_img.copy(), lt, rt, rb, lb) | ||
| # cv2.imwrite(f"{out_dir}/{file_name}-extract-{i}.jpg", wrapped_img) | ||
| # cv2.imwrite(f"{out_dir}/{file_name}-visualize.jpg", img) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -2,7 +2,3 @@ | |
| # @Author: Jocker1212 | ||
| # @Contact: [email protected] | ||
| from .inference import TableDetector | ||
| from .utils import img_loader, visuallize, extract_table_img | ||
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| # | ||
| __all__ = ["TableDetector", "img_loader", "visuallize", "extract_table_img"] | ||
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