From 4bb21fbd73cbdd58ca1cbfbb092ca841620f4079 Mon Sep 17 00:00:00 2001 From: Peter Anderson Date: Tue, 12 Nov 2019 08:57:59 -0500 Subject: [PATCH] Fix broken links to pretrained models --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a5df148..4a795e7 100755 --- a/README.md +++ b/README.md @@ -122,11 +122,11 @@ Any NVIDIA GPU with 12GB or larger memory is OK for training Faster R-CNN ResNet ### Demo -1. Download [pretrained model](https://www.dropbox.com/s/tr24q7h0zm2wnjv/resnet101_faster_rcnn_final.caffemodel?dl=1), and put it under `data\faster_rcnn_models`. +1. Download [pretrained model](https://www.dropbox.com/s/wqada4qiv1dz9dk/resnet101_faster_rcnn_final.caffemodel?dl=1), and put it under `data\faster_rcnn_models`. 2. Run `tools/demo.ipynb` to show object and attribute detections on demo images. -3. Run `tools/genenerate_tsv.py` to extract bounding box features to a tab-separated-values (tsv) file. This will require modifying the `load_image_ids` function to suit your data locations. To recreate the pretrained feature files with 10 to 100 features per image, set MIN_BOXES=10 and MAX_BOXES=100. To recreate the pretrained feature files with 36 features per image, set MIN_BOXES=36 and MAX_BOXES=36 use this [alternative pretrained model](https://www.dropbox.com/s/bacig173qnxddvz/resnet101_faster_rcnn_final_iter_320000.caffemodel?dl=1) instead. The alternative pretrained model was trained for fewer iterations but performance is similar. +3. Run `tools/genenerate_tsv.py` to extract bounding box features to a tab-separated-values (tsv) file. This will require modifying the `load_image_ids` function to suit your data locations. To recreate the pretrained feature files with 10 to 100 features per image, set MIN_BOXES=10 and MAX_BOXES=100. To recreate the pretrained feature files with 36 features per image, set MIN_BOXES=36 and MAX_BOXES=36 use this [alternative pretrained model](https://www.dropbox.com/s/nu6jwhc88ujbw1v/resnet101_faster_rcnn_final_iter_320000.caffemodel?dl=1) instead. The alternative pretrained model was trained for fewer iterations but performance is similar. ### Training