Comments (3)
wangg12
commented on August 22, 2024
1
区别在于用一个通道区分所有类别前背景还是让每个通道负责对应类别的前背景，效果可能有些区别。具体怎样可以自己对比一下
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sdu-huanhq
commented on August 22, 2024
区别在于用一个通道区分所有类别前背景还是让每个通道负责对应类别的前背景，效果可能有些区别。具体怎样可以自己对比一下
预测前背景的话用只用mask可以吗？为什么xyz map和region中都要加入预测前背景的通道？还烦请王博解答一下：）
from gdrnpp_bop2022.
sdu-huanhq
commented on August 22, 2024
区别在于用一个通道区分所有类别前背景还是让每个通道负责对应类别的前背景，效果可能有些区别。具体怎样可以自己对比一下
预测前背景的话用只用mask可以吗？为什么xyz map和region中都要加入预测前背景的通道？还烦请王博解答一下：）
想明白了，这三个参数如果为True的话，就相当于为每一类物体都创建一组单独的xyz_map, mask和region，但如果为false，则所有种类将共享同一个xyz_map, maks和region
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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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