Comments (7)
3dsf
commented on May 22, 2024
hey, I just came back because I forgot to close my ticket (related). Are you running the command from the MiDaS folder? It is only meant to be run from within the folder as per my ticket. Your location is the same as mine.
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3dsf
commented on May 22, 2024
Hey, I just noticed your have model-f45... in your folder
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GregoryBetsey
commented on May 22, 2024
I fixed it.
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kjyothiswaroop
commented on May 22, 2024
Hey Gregory, I am getting a similar error, though i am running the code on Ubuntu. what is the fix for the issue?
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3dsf
commented on May 22, 2024
You either have to call the run.py file from the same folder or you have the wrong model present. In the example above, the script was calling a different model than was present.
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Davidesteve1850
commented on May 22, 2024
Hi gregory, I'm trying to "play" with a repository that uses the same weights but the link they provided has been broken and the creator doesn't seem to have updated it. Could you please send me a copy of the pesos?
Thank you
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GregoryBetsey
commented on May 22, 2024
Hi gregory, I'm trying to "play" with a repository that uses the same weights but the link they provided has been broken and the creator doesn't seem to have updated it. Could you please send me a copy of the pesos? Thank you
Hello. Are you asking for model-f46da743.pt?
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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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