1.Train YOLOv2 object detector from scratch with Tensorflow.
Prepare two files:
data.csv (three columns: filenames, rois, classes - each row contains image filepath, list of rois (each [x,y,w,h]), list of classes) and anchors.txt (each row contains width and height of one anchor).
python make_tfrecord.py
python train.py
python coco_eval.py
2.Evaluate YOLOv2 model trained with COCO dataset using Tensorflow. Conversion from Darknet to Tensorflow framework done with darkflow project.
