Spaces:
Running
on
Zero
Running
on
Zero
fix output of inference
Browse files
app.py
CHANGED
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@@ -73,6 +73,7 @@ def run_model(target_dir, model) -> dict:
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predictions = {}
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predictions["images"] = images # (S, 3, H, W)
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frames = []
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for i in range(images.shape[0]):
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@@ -114,7 +115,8 @@ def run_model(target_dir, model) -> dict:
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print("Depth map shape:", predictions["depth"].shape)
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print("Depth confidence shape:", predictions["depth_conf"].shape)
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print("Pose encoding shape:", predictions["pose_enc"].shape)
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-
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# Convert pose encoding to extrinsic and intrinsic matrices
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print("Converting pose encoding to extrinsic and intrinsic matrices...")
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extrinsic, intrinsic = pose_encoding_to_extri_intri(predictions["pose_enc"], images.shape[-2:])
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predictions = {}
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predictions["images"] = images # (S, 3, H, W)
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print(f"Images shape: {images.shape}")
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frames = []
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for i in range(images.shape[0]):
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print("Depth map shape:", predictions["depth"].shape)
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print("Depth confidence shape:", predictions["depth_conf"].shape)
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print("Pose encoding shape:", predictions["pose_enc"].shape)
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print(f"Images shape: {images.shape}")
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# Convert pose encoding to extrinsic and intrinsic matrices
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print("Converting pose encoding to extrinsic and intrinsic matrices...")
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extrinsic, intrinsic = pose_encoding_to_extri_intri(predictions["pose_enc"], images.shape[-2:])
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