i have rtx 3060 GPU, which supports cuda 11.x , i am currently facing issue relating to compatibility imports . (i.e Pytorch3d (from versions : None ; cuda version & AttributeError: module 'numpy' has no attribute 'int'.) how to resolve it ?
Always get this following error when running net = PoseEstimationWithMobileNet (RuntimeError Traceback (most recent call last) <ipython-input-10-736a0682666b> in <cell line: 5>() 3 load_state(net, checkpoint) 4 ----> 5 get_rect(net.cuda(), [image_path], 512) Need some help please. Thankyou
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-17-736a0682666b> in <cell line: 5>() 3 load_state(net, checkpoint) 4 ----> 5 get_rect(net.cuda(), [image_path], 512) 1 frames /usr/local/lib/python3.10/dist-packages/numpy/__init__.py in __getattr__(attr) 317 318 if attr in __former_attrs__: --> 319 raise AttributeError(__former_attrs__[attr]) 320 321 if attr == 'testing': AttributeError: module 'numpy' has no attribute 'int'. `np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: numpy.org/devdocs/release/1.20.0-notes.html#deprecations
it does make sense that a human shape is a fairly narrow expression space so it should actually be a fairly easy task. I would think it's vastly simpler than what midjourney does for instance. it should be quite possible to make 3D models with as good fidelity as our minds can. essentially perfect
3 times I have tried this and 3 times failed apparently the link above gives me a figure that is already in the system and no instructions on how to clear the field.
Wao... fantastic I even run into one issue. Part of my image exploded in 3D transformation but everything was available in one frame i.e. leg was few cm away from main body and stomach was ripped open. I think it's because I choose low resolution image. Other then that all went fine
ERROR: Could not find a version that satisfies the requirement pytorch3d (from versions: none) ERROR: No matching distribution found for pytorch3d crap...dislike
this doesn't work anymore, getting errors in your rendering section "could not find a version that satisfies the requirement" and on the Run PiFuHD section it gives this error: error cannot marching cubes cannot unpack non-iterable int object
@@derekau533 man that's amazing so fast you updated it! Works great now! Thank you! Side question, it says maximum 60kb image, but can you run a higher resolution if you are making it use your own machine ?
@@chemonized Yes, I think so.. bigger images just require more memory. You can try, then scale down if out of memory error occurs. Please remember this software is three years old now, which is ancient! The models are not super detailed. I'm sure there are better alternatives available now.
Hi there. Cool video but i get following error when running PIFuHD: "error cannot marching cubes cannot unpack non-iterable int object" As output in results/recon i only have the .png file and not the .obj file. The input file was under 60Kb as you said. What am I doing wrong?
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. torchvision 0.14.0+cu116 requires torch==1.13.0, but you have torch 1.6.0+cu101 which is incompatible. torchtext 0.14.0 requires torch==1.13.0, but you have torch 1.6.0+cu101 which is incompatible. torchaudio 0.13.0+cu116 requires torch==1.13.0, but you have torch 1.6.0+cu101 which is incompatible. fastai 2.7.10 requires torch<1.14,>=1.7, but you have torch 1.6.0+cu101 which is incompatible.
I'm trying to learn about ICON (implicit clothed humans obtained from normals) and Nvidia's nerf. Could you please try to do a tutorial (with texture) about these 2 because it seems they are the best till now for this purpose. Thank you!
This is an Awesome Video my Dude.. My question is, When its done , and ive downloaded my model etc , and now i want to try the Process again do i need to start the whole process again??? as thats what im doing
Tip: Instead of posting only how it works and how it looks the whole process it would be much more usefull to show what requirements are needed and how to set all the dependencies required by colab or to get the process working at least! If you don't do that it's just a random video about something that probably it works only for you and few other users but if you want to get much more attention you should add all the settings that make this process working! Cheers.
creepy AI can make in a second at the same time if this helpful in the future for medical it would be great overall what i think today was very interesting i wanna try this.
i couldnt figure out , i am following all the instructions as you mentioned but my object files comes in sharttered pieces, not as one invidiual object, can you tell why its happening like that, thanks in advance