simplified setup routine

INSTALL.md

@@ -16,48 +16,34 @@
 # first, make sure that your conda is setup properly with the right environment
 # for that, check that `which conda`, `which pip` and `which python` points to the
 # right path. From a clean conda env, this is what you need to do
-
 conda create --name maskrcnn_benchmark
 conda activate maskrcnn_benchmark
 
 # this installs the right pip and dependencies for the fresh python
 conda install ipython
 
-# maskrcnn_benchmark and coco api dependencies
-pip install ninja yacs cython matplotlib tqdm opencv-python
-
 # follow PyTorch installation in https://pytorch.org/get-started/locally/
 # we give the instructions for CUDA 9.0
 conda install -c pytorch pytorch-nightly torchvision cudatoolkit=9.0
 
-export INSTALL_DIR=$PWD
-
 # install pycocotools
-cd $INSTALL_DIR
 git clone https://github.com/cocodataset/cocoapi.git
 cd cocoapi/PythonAPI
 python setup.py build_ext install
 
 # install apex
-cd $INSTALL_DIR
 git clone https://github.com/NVIDIA/apex.git
 cd apex
 python setup.py install --cuda_ext --cpp_ext
 
 # install PyTorch Detection
-cd $INSTALL_DIR
-git clone https://github.com/facebookresearch/maskrcnn-benchmark.git
-cd maskrcnn-benchmark
-
-# the following will install the lib with
-# symbolic links, so that you can modify
-# the files if you want and won't need to
-# re-build it
-python setup.py build develop
-
-
-unset INSTALL_DIR
+pip install git+https://github.com/facebookresearch/maskrcnn-benchmark
 
+# for development on mask-rcnn benchmark, clone the repository and install in development mode:
+# the files if you want and won't need to re-build it:
+# git clone https://github.com/facebookresearch/maskrcnn-benchmark.git 
+# cd maskrcnn-benchmark.git
+# python setup.py build develop
 # or if you are on macOS
 # MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py build develop
 ```
@@ -71,9 +57,6 @@ conda activate maskrcnn_benchmark
 # this installs the right pip and dependencies for the fresh python
 conda install ipython
 
-# maskrcnn_benchmark and coco api dependencies
-pip install ninja yacs cython matplotlib tqdm opencv-python
-
 # follow PyTorch installation in https://pytorch.org/get-started/locally/
 # we give the instructions for CUDA 9.0
 ## Important : check the cuda version installed on your computer by running the command in the cmd : 

setup.py

@@ -11,7 +11,7 @@
 from torch.utils.cpp_extension import CppExtension
 from torch.utils.cpp_extension import CUDAExtension
 
-requirements = ["torch", "torchvision"]
+requirements = ["torch", "torchvision", "ninja", "yacs", "cython", "matplotlib", "tqdm", "opencv-python"]
 
 
 def get_extensions():
@@ -63,7 +63,7 @@ def get_extensions():
     url="https://github.com/facebookresearch/maskrcnn-benchmark",
     description="object detection in pytorch",
     packages=find_packages(exclude=("configs", "tests",)),
-    # install_requires=requirements,
+    install_requires=requirements,
     ext_modules=get_extensions(),
     cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
 )