Results 8 issues of 565.ee

when i run python demos/demo_reconstruct.py -i TestSamples/examples --saveDepth True --saveObj True i have /root/.cache/torch_extensions/standard_rasterize_cuda/standard_rasterize_cuda.o how can i get standard_rasterize_cuda.so ``` (py38) [root@lzh4 deca]# python demos/demo_reconstruct.py -i TestSamples/examples --saveDepth True --saveObj...

OS : centos stream 9 Rust : 1.61 substrate : 2022-05 3.0 polkdadot : 0.9.20 substrate-front-end : 2022-02 nvm node nodejs : 16.14.0 success : Start the local Substrate node...

how can i train my model with mask picture/video ?

gtx 3070 : CUDA Cores=5888 , Graphics Ram= 8 GB gtx 3060ti : CUDA Cores=4864 , Graphics Ram=12 GB which card run instant-ngp better ?

when run build\testbed --scene data/fox : • Vulkan error: loader_validate_device_extensions: Device extension VK_NVX_binary_import not supported by selected physical device or enabled layers. • Vulkan error: vkCreateDevice: Failed to validate extensions...

![o](https://user-images.githubusercontent.com/28084126/135301715-b54f83dd-0a4f-4472-827e-55734116a9eb.png) ![m](https://user-images.githubusercontent.com/28084126/135301754-1947e4ab-9ea8-4cef-963f-d092dfe2a8d7.png) ``` im = cv2.imread("./1.jpg") cv2_imshow(im) cfg = get_cfg() cfg.merge_from_file(model_zoo.get_config_file("COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml")) cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5 cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url("COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml") predictor = DefaultPredictor(cfg) outputs = predictor(im) v = Visualizer(im[:, :, ::-1], MetadataCatalog.get(cfg.DATASETS.TRAIN[0]), scale=1.2)...

when run build\testbed --scene data/fox : • Vulkan error: loader_validate_device_extensions: Device extension VK_NVX_binary_import not supported by selected physical device or enabled layers. • Vulkan error: vkCreateDevice: Failed to validate extensions...

thank you very much for your MFM !!! when i run (bash dist_finetune.sh ...) , get error how can i run (bash dist_finetune.sh ...) with only 1 gpu , not...