Update README

Author: adityaarun1

README.md

@@ -58,8 +58,8 @@ Additional features not mentioned in the [report](https://arxiv.org/pdf/1702.021
   - **Support for visualization**. The current implementation will summarize ground truth boxes, statistics of losses, activations and variables during training, and dump it to a separate folder for tensorboard visualization. The computing graph is also saved for debugging.
 
 ### Prerequisites
-  - A basic pytorch installation. The code follows **0.4**. If you are using old **0.1.12** or **0.2** or **0.3**, you can checkout the corresponding branch.
-  - Python packages you might not have: `cffi`, `opencv-python`, `easydict` (similar to [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn)). For `easydict` make sure you have the right version. Xinlei uses 1.6.
+  - A basic pytorch installation. The code follows **1.0**. If you are using old **0.1.12** or **0.2** or **0.3** or **0.4**, you can checkout the corresponding branch.
+  - Python packages you might not have: `opencv-python`, `easydict` (similar to [py-faster-rcnn](https://github.com/rbgirshick/py-faster-rcnn)). For `easydict` make sure you have the right version. Xinlei uses 1.6.
   - [tensorboard-pytorch](https://github.com/lanpa/tensorboard-pytorch) to visualize the training and validation curve. Please build from source to use the latest tensorflow-tensorboard.
   - ~~Docker users: Since the recent upgrade, the docker image on docker hub (https://hub.docker.com/r/mbuckler/tf-faster-rcnn-deps/) is no longer valid. However, you can still build your own image by using dockerfile located at `docker` folder (cuda 8 version, as it is required by Tensorflow r1.0.) And make sure following Tensorflow installation to install and use nvidia-docker[https://github.com/NVIDIA/nvidia-docker]. Last, after launching the container, you have to build the Cython modules within the running container.~~
 
@@ -72,7 +72,7 @@ Additional features not mentioned in the [report](https://arxiv.org/pdf/1702.021
 2. Compile modules(nms, roi_pooling(from [longcw/yolo2-pytorch](https://github.com/longcw/yolo2-pytorch)), roi_align(from [longcw/RoIAlign.pytorch](https://github.com/longcw/RoIAlign.pytorch.git))):
   ```
   cd pytorch-faster-rcnn/lib
-  bash make.sh
+  python setup.py build develop
   cd ../
   ```
 

experiments/scripts/test_faster_rcnn.sh

@@ -18,7 +18,7 @@ case ${DATASET} in
   pascal_voc)
     TRAIN_IMDB="voc_2007_trainval"
     TEST_IMDB="voc_2007_test"
-    ITERS=50000
+    ITERS=70000
     ANCHORS="[8,16,32]"
     RATIOS="[0.5,1,2]"
     ;;