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@gerwang
Created September 26, 2022 08:00
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Caculate chamfer distance on the DiLiGent-MV dataset.
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{
"cells": [
{
"cell_type": "code",
"execution_count": 18,
"id": "c72e321c-6dcc-484f-bbb5-66e07dcf7eb7",
"metadata": {},
"outputs": [],
"source": [
"from pytorch3d.io import load_ply\n",
"from pytorch3d.structures import Meshes\n",
"from pytorch3d.loss import chamfer_distance"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "883ec12a-03f1-4559-abe9-61b2fe18aff9",
"metadata": {},
"outputs": [],
"source": [
"pred_path = '/path/to/DiLiGenT-MV/estMesh/bearPNG_Mesh_PAMI16Park.ply'\n",
"gt_path = '/path/to/DiLiGenT-MV/mvpmsData/bearPNG/mesh_Gt.ply'"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "48261e85-b315-42bf-82de-7fcf989f4819",
"metadata": {},
"outputs": [],
"source": [
"pred_verts, pred_faces = load_ply(pred_path)\n",
"gt_verts, gt_faces = load_ply(gt_path)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "3d1b528b-642c-4966-bf56-6ed6d4fdf472",
"metadata": {},
"outputs": [],
"source": [
"pred_mesh = Meshes(verts=[pred_verts], faces=[pred_faces])\n",
"gt_mesh = Meshes(verts=[gt_verts], faces=[gt_faces])"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "ee6d76f3-5766-467c-a5f9-5c968ee7a407",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"torch.Size([1, 1155220, 3])"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred_mesh.verts_padded().shape"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "d891155e-c514-43b9-94f9-90e76026ccda",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"device(type='cpu')"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pred_mesh.verts_padded().device"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "93c7e174-c61d-4622-92aa-8c28b23c35d4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(tensor(2.5251, device='cuda:0'), None)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chamfer_distance(pred_mesh.verts_padded().cuda(), gt_mesh.verts_padded().cuda())"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.8"
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"nbformat": 4,
"nbformat_minor": 5
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