let net = DarknetNetwork.parse_network_cfg(cfgfile)
net.load_weights(weightfile)
const input_size = net.get_network_input_size()
let input = DarknetMatrix.make(1,input_size)
...- rnn.js, yolo.js is working! :)
< car 0.008212059986596465 0.11794955815587727 0.2582981142462516 0.7473386653832027 0.876048103278997
< diningtable 0.0037762266622333174 0.11794955815587727 0.2582981142462516 0.7473386653832027 0.876048103278997
< horse 0.01571061588740985 0.11794955815587727 0.2582981142462516 0.7473386653832027 0.876048103278997
< motorbike 0.22114932313654379 0.11794955815587727 0.2582981142462516 0.7473386653832027 0.876048103278997
< pottedplant 0.17379721077381305 0.11794955815587727 0.2582981142462516 0.7473386653832027 0.876048103278997
< sheep 0.013608549189502828 0.11794955815587727 0.2582981142462516 0.7473386653832027 0.876048103278997
- Clone this repo and update sub-modules
- Build darknet first
- Download pretrained weights from darknet homepage