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prepare training data

GazeFollowData contains training and testing data from [1], please download data form http://gazefollow.csail.mit.edu/download.html. Note that the downloaded testing data may have wrong label, so we provided test2 provided from author.

download our dataset

OurData is in https://yien01-my.sharepoint.com/:u:/g/personal/doubility_z0_tn/Ea2BrlvFfQ5Dt8UjgfVnA6QB7yUAvbDDQFr1rZ_b0m9Nvw?e=jaUGWb Please download and unzip it

OurData contains data descriped in our paper. OurData/tools/extract_frame.py extract frame from clipVideo in 2fps. Different version of ffmpeg may have different results, we provide our extracted images. OurData/tools/create_video_image_list.py extract annotation to json.

testing on gazefollow data

cd code python test_gazefollow.py

test on our data

please download the pretrained model from https://drive.google.com/open?id=1eN0NysvRNsWaoyJea3w1Tdbt7iPMvjmp manually as save to model/

cd code python test_ourdata.py

training scratch

cd code python train.py

#TODO:

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