lpiccinelli
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unidepth-v1-vitl14

monocular-metric-depth-estimation

pytorch_model_hub_mixin

model_hub_mixin

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unidepth-v1-vitl14 / config.json

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	{
	"data": {
	"image_shape": [
	462,
	616
	]
	},
	"generic": {
	"seed": 13
	},
	"model": {
	"expansion": 4,
	"name": "UniDepthV1",
	"num_heads": 8,
	"pixel_decoder": {
	"depths": [
	3,
	2,
	1
	],
	"dropout": 0.0,
	"hidden_dim": 512
	},
	"pixel_encoder": {
	"depths": [
	5,
	12,
	18,
	24
	],
	"embed_dim": 1024,
	"embed_dims": [
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	],
	"name": "dinov2_vitl14",
	"patch_size": 14,
	"pretrained": null
	}
	},
	"training": {}
	}