NVlabs
Tools Recomendation ???
What kind of tools are recommended for preparing the .json files in sample_data/ directory relevant to the .png / .jpg images before proceed to next stage of using train.py ?
I tried the labelme, but the .json file generated looks like below, it isn't same as the one show in the sample_data/ directory ?
{ "version": "3.16.7", "flags": {}, "shapes": [ { "label": "flat_screwdriver", "line_color": null, "fill_color": null, "points": [ [ 2805.8688524590166, 678.9508196721312 ], [ 2810.786885245902, 756.0 ], [ 2800.9508196721313, 816.655737704918 ], [ 2796.032786885246, 1315.016393442623 ], [ 2835.377049180328, 1315.016393442623 ], [ 2884.5573770491806, 1365.8360655737706 ], [ 2856.688524590164, 1451.0819672131147 ], [ 2858.3278688524592, 1510.0983606557377 ], [ 2873.0819672131147, 1587.1475409836066 ], [ 2892.754098360656, 1693.704918032787 ], [ 2891.1147540983607, 1964.1967213114754 ], [ 2843.5737704918033, 2011.7377049180327 ], [ 2845.2131147540986, 2034.688524590164 ], [ 2805.8688524590166, 2039.6065573770493 ], [ 2746.8524590163934, 2034.688524590164 ], [ 2710.786885245902, 2011.7377049180327 ], [ 2715.7049180327867, 1996.983606557377 ], [ 2681.27868852459, 1947.8032786885246 ], [ 2691.1147540983607, 1674.032786885246 ], [ 2714.065573770492, 1583.8688524590164 ], [ 2727.1803278688526, 1518.295081967213 ], [ 2723.9016393442625, 1452.72131147541 ], [ 2696.032786885246, 1377.311475409836 ], [ 2735.377049180328, 1319.9344262295083 ], [ 2773.0819672131147, 1311.7377049180327 ], [ 2771.44262295082, 818.2950819672132 ], [ 2758.3278688524592, 762.5573770491803 ], [ 2768.1639344262294, 680.5901639344263 ] ], "shape_type": "polygon", "flags": {} } ], "lineColor": [ 0, 255, 0, 128 ], "fillColor": [ 255, 0, 0, 128 ], "imagePath": "N1_0.jpg", "imageHeight": 2848, "imageWidth": 4272 }
In the repo we have two solutions, one with blender and the other one with nvisii.
Hi @TontonTremblay
Thanks for the info. I have toilet bowl images, if i want to detect it and get the pose of it when train with DOPE, which script of nvisii shall i use to prepare the dataset .json file ?
Do you have a 3d model?
On Tue, Jan 7, 2025 at 17:56 HappySamuel @.***> wrote:
Hi @TontonTremblay https://github.com/TontonTremblay
Thanks for the info. I have toilet bowl images, if i want to detect it and get the pose of it when train with DOPE, which script of nvisii shall i use to prepare the dataset .json file ?
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Do you have a 3d model?
Nope, i don't have. Currently only have .jpg files. Do i need 3d model to do use with DOPE ? I thought only isaac_ros_foundationpose will need 3d model.
our tools assume a 3d models. So without one I dont think I can help you. sorry.
OK, then i try to generate one. What are the file extensions for the 3d models shall i prepare ? Must it be exact the same as per images ? Or can it be different ?
Hi @TontonTremblay
I want to ask, if the model trained by dope, can it be use for centerpose as well ? Or any modifications need to be amend ?