Datasets:
Download examples/read_one_sample.py from Tome1212/TexSet: direct link, hf CLI and curl.
- Browser
- Download file 4.7 kB
-
https://huggingface.co/datasets/Tome1212/TexSet/resolve/main/examples/read_one_sample.py
- Command line
-
hf download hf://datasets/Tome1212/TexSet/examples/read_one_sample.py
-
curl -L -o read_one_sample.py https://huggingface.co/datasets/Tome1212/TexSet/resolve/main/examples/read_one_sample.py
4.7 kB
| """Read one object from a TexSet shard and put a UV layout onto its mesh. | |
| pip install numpy trimesh pillow | |
| python examples/read_one_sample.py data/val/val-00000-of-00001.tar [uid] | |
| Members of one object are adjacent in the tar and share the uid as key: | |
| <uid>.glb <uid>.uv.npz <uid>.tex_A.png <uid>.tex_B.png <uid>.tex_C.png <uid>.meta.json | |
| """ | |
| import hashlib, io, json, sys, tarfile | |
| import numpy as np | |
| def read_sample(tar_path, want_uid=None): | |
| with tarfile.open(tar_path, "r:") as tf: | |
| key, out = None, {} | |
| for m in tf: | |
| if not m.isfile(): | |
| continue | |
| uid, ext = m.name.split(".", 1) | |
| if want_uid is not None and uid != want_uid: | |
| if key is not None: | |
| break | |
| continue | |
| if key is None: | |
| key = uid | |
| if uid != key: | |
| break | |
| out[ext] = tf.extractfile(m).read() | |
| if key is None: | |
| raise KeyError(want_uid) | |
| return key, out | |
| def load_mesh_like_texset(glb_bytes): | |
| """Exactly the vertex welding the UV sets were built against (loader | |
| `TextureTools.load_whole_mesh+Texture.from_trimesh`, reproduced with plain trimesh 5.1): | |
| load with process=False, bake the scene graph, concatenate, then three merge_vertices passes.""" | |
| import trimesh | |
| from trimesh.visual.texture import TextureVisuals | |
| s = trimesh.load(io.BytesIO(glb_bytes), file_type="glb", process=False) | |
| if isinstance(s, trimesh.Scene): | |
| g = s.dump() | |
| m = g[0] if len(g) == 1 else trimesh.util.concatenate(g) | |
| else: | |
| m = s | |
| m.merge_vertices(merge_tex=False, merge_norm=True) | |
| m = m.copy(include_cache=True) | |
| if isinstance(m.visual, TextureVisuals): | |
| m.visual.vertex_attributes.update(m.visual.vertex_attributes.data) | |
| m.merge_vertices(merge_tex=False, merge_norm=True) | |
| m = m.copy(include_cache=True) | |
| m.merge_vertices(merge_tex=True, merge_norm=True) | |
| return np.asarray(m.vertices, np.float32), np.asarray(m.faces, np.int32) | |
| def fingerprint(V, F): | |
| h = hashlib.sha256() | |
| h.update(np.ascontiguousarray(V, np.float32).tobytes()) | |
| h.update(np.ascontiguousarray(F, np.int32).tobytes()) | |
| return h.hexdigest() | |
| if __name__ == "__main__": | |
| uid, raw = read_sample(sys.argv[1], sys.argv[2] if len(sys.argv) > 2 else None) | |
| meta = json.loads(raw["meta.json"]) | |
| uv = np.load(io.BytesIO(raw["uv.npz"])) | |
| print(f"uid {uid}: {meta['n_faces']:,} faces, {meta['n_vertices']:,} vertices, loader {meta['loader']}") | |
| for name in ("A", "B", "C"): | |
| uv_vertices = uv[f"{name}/uv_vertices"].astype(np.float32) / 65535.0 # (K,2) in [0,1] | |
| uv_faces = uv[f"{name}/uv_faces"] # (F,3), row i <-> mesh face i | |
| v = meta["variants"][name] | |
| print(f" variant {name}: {len(uv_vertices):,} uv vertices, {v['charts']} charts, " | |
| f"utilization {v['utilization']:.3f}, faces without texel {v['faces_without_texel']}") | |
| # the atlas: RGBA, alpha = chart-coverage mask (NOT transparency); row 0 is v = 0 (no flip) | |
| try: | |
| from PIL import Image | |
| tex = np.asarray(Image.open(io.BytesIO(raw["tex_A.png"]))) | |
| print(f" tex_A {tex.shape} {tex.dtype}, covered texels {(tex[..., 3] > 0).mean():.1%}") | |
| except ImportError: | |
| print(" (install pillow to decode the atlases)") | |
| # bind UV set A to the mesh and check the fingerprint | |
| try: | |
| V, F = load_mesh_like_texset(raw["glb"]) | |
| if meta["fingerprint"] is None: # a pruned object: sealed faces were deleted after baking | |
| ok = len(F) == meta["n_faces"] | |
| print(f" mesh from glb: {len(F):,} faces; pruned object ({meta['pruned']['faces_removed']} faces removed), " | |
| f"no fingerprint - face count {'OK' if ok else 'MISMATCH'}") | |
| else: | |
| ok = fingerprint(V, F) == meta["fingerprint"] | |
| print(f" mesh from glb: {len(F):,} faces; fingerprint {'OK' if ok else 'MISMATCH'}") | |
| if ok: | |
| uv_a = uv["A/uv_vertices"].astype(np.float32) / 65535.0 | |
| corner_uv = uv_a[uv["A/uv_faces"]] # (F,3,2) per-corner UV | |
| H, W = tex.shape[:2] | |
| centre = corner_uv.mean(1) | |
| col = np.clip((centre[:, 0] * W).astype(int), 0, W - 1) | |
| row = np.clip((centre[:, 1] * H).astype(int), 0, H - 1) # row = v*H, no flip | |
| print(f" albedo at face centres, first 3 faces: {tex[row[:3], col[:3], :3].tolist()}") | |
| except ImportError: | |
| print(" (install trimesh to load the mesh and verify the fingerprint)") | |