Comments (2)
这是正常的,过滤掉了可见部分太少甚至不可见的物体
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也就是说,由于存在这些可见部分太少甚至不可见的物体,程序才提醒数据集的建立过程可能存在问题。理解了,非常感谢!
George
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Related Issues (20)
- visualizing results of inference on lmo -- FileNotFoundError: [Errno 2] No such file or directory: 'output/gdrn/lmo/a6_cPnP_AugAAETrunc_BG0.5_lmo_real_pbr0.1_40e/inference_model_final/lmo_test/a6-cPnP-AugAAETrunc-BG0.5-lmo-real-pbr0.1-40e-test_lmo_test_preds.pkl' HOT 1
- visualizing result of YCB-V inference FileNotFoundError: [Errno 2] No such file or directory: 'output/gdrn/ycbv/a6_cPnP_AugAAETrunc_BG0.5_ycbv_real_pbr_visib20_20e_allObjs/a6-cPnP-AugAAETrunc-BG0.5-ycbv-real-pbr-visib20-20e-singleObjMerged-bop-test-iter0_ycbv-test.csv' HOT 1
- ycbv results visualization only shows the contour around the objects not the projected 3D bounding box HOT 3
- problems in lmo visualization script HOT 4
- training procedure/code for a custom dataset made by BlenderProc that follows linemod format HOT 2
- Questions for training separate model for each object and depth refinement HOT 1
- [ERROR]: mask_trunc array size mismatch on custom dataset
- inference results are zero when using pretrained model weights for ycb-v HOT 1
- lmo_2_vis_poses.py", preds = mmcv.load(pred_path) TypeError: Unsupported format: csv HOT 1
- question regarding visib_gt_min HOT 1
- instruction for creation of files such as yolox_x_640_lmo_pbr_lmo_bop_test.json for a synthetic dataset made by BlenderProc HOT 1
- yolox_mona_test_bop.json missing for a synthetic dataset made with BOP
- Cholesky fails HOT 1
- training time relevant factors (decreasing training time) HOT 1
- ycb数据集 HOT 1
- Has anyone successfully run this model on google colab?
- 6D pose estimation of small objects HOT 1
- GDRN_double_mask is not defined! HOT 1
- Trained Yolo models not available in onedrive HOT 1
- lmo_2_vis_poses.py FileNotFoundError: [Errno 2] No such file or directory: 'output/gdrn/lmo/a6_cPnP_AugAAETrunc_BG0.5_lmo_real_pbr0.1_40e/inference_model_final/lmo_test/a6-cPnP-AugAAETrunc-BG0.5-lmo-real-pbr0.1-40e-test_lmo_test_preds.pkl' HOT 1
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