{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CUDA_VISIBLE_DEVICES=3 python exp_runner_generic_blender_val.py --specific_dataset_name gradio_tmp --mode export_mesh --conf confs/one2345_lod0_val_demo.conf --is_continue\n", "\u001b[31mdetected 1 GPUs\u001b[0m\n", "\u001b[33mbase_exp_dir: exp/lod0\u001b[0m\n", "\u001b[34mStore in: ../gradio_tmp\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/chao/anaconda3/envs/gradio/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)\n", " return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n", "[exp_runner_generic_blender_val.py:159 - __init__() ] Find checkpoint: ckpt_285000.pth\n", "[exp_runner_generic_blender_val.py:500 - load_checkpoint() ] End\n", "ic| self.iter_step: 285000, idx: -1\n", "[exp_runner_generic_blender_val.py:579 - export_mesh() ] Validate begin\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "time for getting data 0.0004603862762451172\n", "export mesh time: 5.274312734603882\n" ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os \n", "\n", "dataset = 'gradio_tmp' # !!! the subfolder name in valpath for which you want to eval\n", "# os.system('pwd')\n", "\n", "bash_script = f'CUDA_VISIBLE_DEVICES=3 python exp_runner_generic_blender_val.py --specific_dataset_name {dataset} --mode export_mesh --conf confs/one2345_lod0_val_demo.conf --is_continue'\n", "print(bash_script)\n", "os.system(bash_script)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CUDA_VISIBLE_DEVICES=3 python exp_runner_generic_blender_val.py --specific_dataset_name eval_test/ebicycle2 --mode export_mesh --conf confs/one2345_lod0_val_demo.conf --is_continue\n", "\u001b[31mdetected 1 GPUs\u001b[0m\n", "\u001b[33mbase_exp_dir: exp/lod0\u001b[0m\n", "save mesh to: ../eval_test/ebicycle2\n", "\u001b[34mStore in: ../eval_test/ebicycle2\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/chao/anaconda3/envs/gradio/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)\n", " return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n", "[exp_runner_generic_blender_val.py:160 - __init__() ] Find checkpoint: ckpt_180000.pth\n", "[exp_runner_generic_blender_val.py:501 - load_checkpoint() ] End\n", "ic| self.iter_step: 180000, idx: -1\n", "[exp_runner_generic_blender_val.py:580 - export_mesh() ] Validate begin\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "time for getting data 0.0004477500915527344\n", "export mesh time: 5.30308723449707\n" ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os \n", "\n", "dataset = 'eval_test/ebicycle2' # !!! the subfolder name in valpath for which you want to eval\n", "# os.system('pwd')\n", "\n", "bash_script = f'CUDA_VISIBLE_DEVICES=3 python exp_runner_generic_blender_val.py --specific_dataset_name {dataset} --mode export_mesh --conf confs/one2345_lod0_val_demo.conf --is_continue'\n", "print(bash_script)\n", "os.system(bash_script)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ " 0%| | 0/20 [00:00