>首先使用以下命令得到 bbox 或 segmentation 的 json 格式文件。 python tools/test.py --format-only --eval-options "jsonfile_prefix=out/out_resul" 样例 (1)得到每一类的 COCO bbox 误差结果,并保存分析结果图像至指定目录 python tools/analysis_tools/coco_error_analysis.py results.bbox.json out/ ...
results:dict)->dict:"""生成 LiDARPoints 格式"""pts_file_path=results['lidar_path']points=self...
img得到更新,同时,pad后的shape(这就是现在img的shape)以及另外的信息也保存在了新key中 第十二个:DefaultFormatBundle3D。这里是mmdet3d对dict中多项常用数据的统一的形式处理,在其类描述中写得很清楚为: """Default formatting bundle. It simplifies the pipeline of formatting common fields for voxels, includi...
I am getting the same error while training on custom dataset in coco format Loading and preparing results... 2020-06-14 23:36:16,926 - mmdet - ERROR - The testing results of the whole dataset is empty. what might be the reason and how to solve this?
/onnx/symbolic_opset9.py:2819: UserWarning: Exporting aten::index operator of advanced indexing in opset 11 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results...
results (dict): Result dict from :obj:`mmdet.CustomDataset`. Returns: dict: The dict contains loaded bounding box, label, mask and semantic segmentation annotations. """ if self.with_pts: results = self._load_pts(results) if self.with_label: ...
--format-only \ --options "jsonfile_prefix=./mask_rcnn_test-dev_results" 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 实用工具与分析 日志分析 AI检测代码解析 # 安装 pip install seaborn ...
return results.get('gt_masks', self.gen_masks_from_bboxes(results.get('gt_bboxes', []), results['img'].shape)) 配置文件 对于config来说,就只需要在MultiScaleFlipAug下加入CopyPaste就好,因为原本json里并没有mask标签,那LoadAnnotations里不需要设置with_mask=True,Collect的key里面也不需要添加‘gt...
apis __init__.py det_inferencer.py inference.py configs datasets engine evaluation models structures testing utils visualization __init__.py registry.py version.py projects requirements resources tests tools .gitignore .owners.yml .pre-commit-config-zh-cn.yaml ...
/data/pointcloud_alg/mmdeploy/mmdeploy/codebase/mmdet3d/models/pillar_encode.py:41: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same ...