update groundedsam

Dockerfile

@@ -46,6 +46,9 @@ RUN pip install --no-cache-dir -U torch==2.0.0+cu117 torchvision==0.15.1+cu117 t
 RUN pip install --no-cache-dir -U xformers==0.0.17
 COPY --chown=1000 requirements.txt /tmp/requirements.txt
 RUN pip install --no-cache-dir -U -r /tmp/requirements.txt
+COPY --chown=1000 checkpoints/*.whl /tmp/
+RUN pip install --no-cache-dir -U /tmp/groundingdino-0.1.0-cp310-cp310-linux_x86_64.whl
+RUN pip install --no-cache-dir -U /tmp/segment_anything-1.0-py3-none-any.whl
 # RUN pip install -e Make-A-Protagonist/experts/GroundedSAM/segment_anything
 # RUN pip install -e Make-A-Protagonist/experts/GroundedSAM/GroundingDINO
 

app.py

@@ -5,9 +5,11 @@ from __future__ import annotations
 import os
 import sys
 import warnings
-
-os.system("python -m pip install -e Make-A-Protagonist/experts/GroundedSAM/segment_anything")
-os.system("python -m pip install -e Make-A-Protagonist/experts/GroundedSAM/GroundingDINO")
+# os.system("cd Make-A-Protagonist/experts/GroundedSAM")
+# os.system("python -m pip install -e segment_anything")
+# os.system("python -m pip install -e GroundingDINO")
+# os.system("cd ../../..")
+# os.system("python -m pip install -e Make-A-Protagonist/experts/GroundedSAM/GroundingDINO")
 # os.system("pip install --upgrade diffusers[torch]")
 warnings.filterwarnings("ignore")
 

requirements.txt

@@ -15,7 +15,7 @@ tensorboard
 # torch==1.13.1
 # torchvision==0.14.1
 transformers==4.27.4
-triton
+# triton
 # xformers==0.0.17
 ipdb
 opencv-python