Push model using huggingface_hub.
Browse files- README.md +1 -1
- config.json +152 -29
- model.safetensors +2 -2
README.md
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---
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library_name: UniDepth
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tags:
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- monocular-metric-depth-estimation
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- pytorch_model_hub_mixin
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- model_hub_mixin
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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---
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library_name: UniDepth
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tags:
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+
- model_hub_mixin
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- monocular-metric-depth-estimation
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- pytorch_model_hub_mixin
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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config.json
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{
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"data": {
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"image_shape": [
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],
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"
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}
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},
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"eps": 1e-06,
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"generic": {
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},
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"model": {
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"expansion": 4,
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"name": "UniDepthV2",
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"num_heads": 8,
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"pixel_decoder": {
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"depths": [
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],
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"dropout": 0.0,
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"hidden_dim": 512
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},
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"pixel_encoder": {
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"depths": [
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],
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"embed_dim": 1024,
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1024,
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1024
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],
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"name": "dinov2_vitl14",
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"output_idx": [
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],
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"patch_size": 14,
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"pretrained": null,
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"stacking_fn": "last",
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"use_norm": true
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}
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},
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"training": {
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}
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{
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"data": {
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"augmentations": {
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"blur_p": 0.2,
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"flip_p": 0.5,
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"gamma_p": 0.8,
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"grayscale_p": 0.2,
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"jitter_p": 0.8,
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"random_blur": 2.0,
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"random_gamma": 0.2,
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"random_jitter": 0.4,
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"random_scale": 2.0,
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"shape_constraints": {
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"height_min": 15,
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"pixels_max": 200000,
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"pixels_min": 600000,
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"ratio_bounds": [
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0.5,
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2.5
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],
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"sample": true,
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"shape_mult": 14,
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"width_min": 15
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},
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"test_context": 1.0
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},
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"crop": "garg",
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"data_root": "datasets",
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"image_shape": [
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480,
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640
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],
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"normalization": "imagenet",
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"num_copies": 2,
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"num_frames": 1,
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"sampling": {
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"ETH3D": 1.0,
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"Waymo": 1.0
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},
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"train_datasets": [
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"ETH3D",
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"Waymo"
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],
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"val_datasets": [
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"IBims"
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]
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},
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"eps": 1e-06,
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"generic": {
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},
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"model": {
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"expansion": 4,
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"layer_scale": 1.0,
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"name": "UniDepthV2",
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"num_heads": 8,
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"pixel_decoder": {
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"depths": [
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2,
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2,
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],
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"dropout": 0.0,
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"hidden_dim": 512,
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"kernel_size": 3,
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"name": "Decoder",
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"out_dim": 64
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},
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"pixel_encoder": {
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"cls_token_embed_dims": [
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1024,
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],
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"depths": [
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],
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"embed_dim": 1024,
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1024,
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],
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"freeze_norm": true,
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"frozen_stages": 0,
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"lr": 2e-06,
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"name": "dinov2_vitl14",
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"num_register_tokens": 0,
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"output_idx": [
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"patch_size": 14,
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"pretrained": null,
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"stacking_fn": "last",
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"use_norm": true,
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"wd": 0.1
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}
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},
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"training": {
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"batch_size": 8,
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"clipping": 1.0,
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"cycle_beta": false,
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"drop_path": 0.0,
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"ema": true,
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"f16": true,
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"ld": 1.0,
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"losses": {
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"camera": {
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"alpha": 1.0,
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"fn": "l2",
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"gamma": 1.0,
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"input_fn": "linear",
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"name": "Regression",
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"output_fn": "sqrt",
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"weight": 0.25
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},
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"confidence": {
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"alpha": 1.0,
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"fn": "l1",
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"gamma": 1.0,
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"input_fn": "linear",
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"name": "Regression",
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"output_fn": "sqrt",
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"weight": 0.1
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"depth": {
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"dims": [
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"input_fn": "log",
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"integrated": 0.15,
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"name": "SILog",
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"output_fn": "sqrt",
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"weight": 1.0
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"invariance": {
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"name": "SelfDistill",
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"output_fn": "sqrt",
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"weight": 0.1
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},
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"ssi": {
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"input_fn": "log1i",
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"min_samples": 6,
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"name": "EdgeGuidedLocalSSI",
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"output_fn": "sqrt",
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"use_global": true,
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"weight": 1.0
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},
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"lr": 0.0001,
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"lr_final": 1e-06,
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"lr_warmup": 1.0,
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"n_iters": 300000,
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"nsteps_accumulation_gradient": 2,
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"pretrained": "/srv/beegfs02/scratch/3d_tracking/data/pami2025_unidepth/checkpoints/unidepth-v2-vitl14.pt",
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"use_checkpoint": false,
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"validation_interval": 2,
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"warmup_iters": 75000,
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"wd": 0.1,
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"wd_final": 0.1
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba73d3de735302ccc64a50f1e557122050c4b1893e6060b28dba05d6af3e67c6
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size 1415383604
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