Comments (1)
Not sure if changing one line of code qualifies as "a real pain to refactor", but fixed for convenience.
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Related Issues (20)
- Tuple error, as of today HOT 2
- post training quantization HOT 2
- module 'cv2.cv2' has no attribute 'COLORMAP_INFERNO'
- What is the loss function?
- Copy of MiDaS model made with `copy.deepcopy` does not work. HOT 1
- swin2_tiny failed to run forward(): RuntimeError: unflatten: Provided sizes [64, 64] don't multiply up to the size of dim 2 (64) in the input tensor. HOT 1
- [question] Any suggestions on normalizing the outputs better? HOT 9
- Error Loading Pre-trained Weights: Size Mismatch in DPTDepthModel when trying to run for first time. HOT 7
- System crash when loading DPT_Hybrid
- PyTorch Pipeline Broken HOT 2
- gibberish output? HOT 4
- DPT 3.1 models are now available in the Transformers library HOT 1
- Question about COCO dataset HOT 1
- DEPTH VALUE OF THE EACH PIXEL HOT 12
- iOS Demo app is slowing down over time, and the first inference seems much slower HOT 2
- Converted MiDaS 2.1 TFLite model get wrong result on Mobile HOT 5
- MiDaS 2.1 TFLite fp16 with Core ML Delegate gets wrong results
- Cant find pretrained model HOT 1
- Imp. (Improvement) description in the documents
- Exact distance of image HOT 7
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