{"push_id":1752425718,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"b3f6c5d9cf560b3586b60eb52ca03dc30f576473","before":"216582f466b73e79200bc1556e3e80c46295fe39","commits":[{"sha":"b3f6c5d9cf560b3586b60eb52ca03dc30f576473","author":{"name":"Pedro Morales","email":"c47519089cd7f8aef1ff072f92138b88cc483cf6@gmail.com"},"message":"feat: implemented hog subsampling; this enforced to change the window finding methodology.\nTODO:\n- incorporate new methodology to video pipeline (together w/ heat mapper, etc): I must replace the return draw_image with a return list of bounding boxes\n- GTI group-splitting: apparently there's a file somewhere containing time series data for this purpose...\n- fine tune the classifier w/ ALL the data","distinct":true,"url":"https://api.github.com/repos/partmor/CarND-VehicleDetection-P5/commits/b3f6c5d9cf560b3586b60eb52ca03dc30f576473"}]}
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