Made call of model to device global in app.py file

Added debugging texts to inside of gdino module

Moved model to gpu before calling count functions

Update app.py

printing devices

Changed how device being allocated

Tried commenting out model.cpu() part of tutorial count function

Removed GPU for building models and transforms

Returned model to cpu after the execution of each gpu function

Added @spaces.gpu decorator and switched to gpu officially

Changed py310 to cp310 in multiscale deformable attention file name

Rename MultiScaleDeformableAttention-1.0-py310-cp310-linux_x86_64.whl to MultiScaleDeformableAttention-1.0-cp310-cp310-linux_x86_64.whl

Added ushlex

Added import shlex

Changed to direct call to subprocess.run

Added call to build_multiscale_deform

Added build_multiscale_deform_atten with new python 3.10 wheel file

Create build_multiscale_deform.sh

Upload MultiScaleDeformableAttention-1.0-py310-cp310-linux_x86_64.whl

Quick test

Added paper link

Reverted app to cpu

Update build_ops.sh

Set CC and CUDA_HOME env vars in shell script

Update app.py

Update build_ops.sh

Update requirements.txt

Update app.py

switched device to cuda

Update app.py

Added GroundingDINO repo

Gave wheel direct path

Downloaded wheel file from original gpu

Upload MultiScaleDeformableAttention-1.0-py39-cp39-linux_x86_64.whl

Added installing additional dependencies back into app.py

Trying converting egg file to wheel and then installing

Update build_ops.sh

Added wheel to requirements.txt

Update app.py

Update app.py

Update app.py

Update app.py

Returned to GPU

Reverted back to CPU

Update packages.txt

Update packages.txt

Update build_ops.sh

Update packages.txt

Update packages.txt

Update packages.txt