Download k2u/report.json from idefinity/flip-web: direct link, hf CLI and curl.
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- Download file 2.72 kB
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https://huggingface.co/idefinity/flip-web/resolve/main/k2u/report.json
- Command line
-
hf download hf://idefinity/flip-web/k2u/report.json
-
curl -L -o report.json https://huggingface.co/idefinity/flip-web/resolve/main/k2u/report.json
2.72 kB
| { | |
| "notes": [ | |
| "$ /usr/bin/python3 -m pip install --no-cache-dir -q huggingface_hub safetensors torchvision tqdm -> rc 0", | |
| "$ git clone -q https://github.com/VAST-AI-Research/TripoSplat.git /kaggle/working/TripoSplat -> rc 0", | |
| "$ git -C /kaggle/working/TripoSplat checkout -q d8db9e0 -> rc 0", | |
| "dequantised 559 tensors", | |
| "load_state_dict <All keys matched successfully>", | |
| "image (853, 1280)", | |
| "cond {\"cond_feature1\": [1, 4101, 1280], \"cond_feature2\": [1, 4101, 128]}", | |
| " randn #1 (1, 8192, 16)", | |
| " randn #2 (1, 1, 5)", | |
| "noise_0.npy (1, 8192, 16) float32", | |
| "noise_1.npy (1, 1, 5) float32", | |
| " randn #1 (1, 8192, 16)", | |
| " randn #2 (1, 1, 5)", | |
| "latent1 vs latent2 cos 0.9503333568572998", | |
| "decode {\"run\": 0, \"decode_s\": 0.66, \"opacity_mean\": 0.3962, \"scale_mean\": 0.00668}", | |
| "decode {\"run\": 1, \"decode_s\": 0.43, \"opacity_mean\": 0.3922, \"scale_mean\": 0.0066}", | |
| "decode {\"run\": 2, \"decode_s\": 0.44, \"opacity_mean\": 0.399, \"scale_mean\": 0.00659}", | |
| "decode {\"run\": 3, \"decode_s\": 0.43, \"opacity_mean\": 0.4197, \"scale_mean\": 0.00658}", | |
| "spread {\"opacity_min\": 0.3922, \"opacity_max\": 0.4197, \"scale_min\": 0.00658, \"scale_max\": 0.00668, \"note\": \"k2n fp32 student: opacity 0.4978 scale 0.00571; k2q int4: 0.4228 / 0.00641\"}", | |
| "uploaded cond_feature1.npy 21.0 MB", | |
| "uploaded cond_feature2.npy 2.1 MB", | |
| "uploaded hf_0000.jpg 0.09 MB", | |
| "uploaded hf_0000_int4_i02.ply 4.46 MB", | |
| "uploaded latent1_camera.npy 0.0 MB", | |
| "uploaded latent1_latent.npy 0.52 MB", | |
| "uploaded latent2_camera.npy 0.0 MB", | |
| "uploaded latent2_latent.npy 0.52 MB", | |
| "uploaded noise_0.npy 0.52 MB", | |
| "uploaded noise_1.npy 0.0 MB", | |
| "uploaded prepared.png 0.45 MB" | |
| ], | |
| "decode_spread": [ | |
| { | |
| "run": 0, | |
| "decode_s": 0.66, | |
| "opacity_mean": 0.3962, | |
| "scale_mean": 0.00668 | |
| }, | |
| { | |
| "run": 1, | |
| "decode_s": 0.43, | |
| "opacity_mean": 0.3922, | |
| "scale_mean": 0.0066 | |
| }, | |
| { | |
| "run": 2, | |
| "decode_s": 0.44, | |
| "opacity_mean": 0.399, | |
| "scale_mean": 0.00659 | |
| }, | |
| { | |
| "run": 3, | |
| "decode_s": 0.43, | |
| "opacity_mean": 0.4197, | |
| "scale_mean": 0.00658 | |
| } | |
| ], | |
| "fixtures": { | |
| "cond_feature1": [ | |
| 1, | |
| 4101, | |
| 1280 | |
| ], | |
| "cond_feature2": [ | |
| 1, | |
| 4101, | |
| 128 | |
| ] | |
| }, | |
| "noise_shapes": [ | |
| [ | |
| 1, | |
| 8192, | |
| 16 | |
| ], | |
| [ | |
| 1, | |
| 1, | |
| 5 | |
| ] | |
| ], | |
| "spread": { | |
| "opacity_min": 0.3922, | |
| "opacity_max": 0.4197, | |
| "scale_min": 0.00658, | |
| "scale_max": 0.00668, | |
| "note": "k2n fp32 student: opacity 0.4978 scale 0.00571; k2q int4: 0.4228 / 0.00641" | |
| } | |
| } |