[net] # Testing #batch=1 #subdivisions=1 # Training batch=64 subdivisions=2 width=416 height=416 channels=3 momentum=0.9 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1 contrastive=1 contrastive_jit_flip=1 contrastive_color=0 learning_rate=0.00261 burn_in=1000 max_batches = 500200 policy=steps steps=400000,450000 scales=.1,.1 [convolutional] batch_normalize=1 filters=32 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=2 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [route] layers=-1 groups=2 group_id=1 [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=32 size=3 stride=1 pad=1 activation=leaky [route] layers = -1,-2 [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky [route] layers = -6,-1 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [route] layers=-1 groups=2 group_id=1 [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=64 size=3 stride=1 pad=1 activation=leaky [route] layers = -1,-2 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [route] layers = -6,-1 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [route] layers=-1 groups=2 group_id=1 [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=3 stride=1 pad=1 activation=leaky [route] layers = -1,-2 [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [route] layers = -6,-1 [maxpool] size=2 stride=2 [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky ################################## [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky #[conv_lstm] #batch_normalize=1 #size=3 #pad=1 #output=128 #groups=1 #peephole=0 #bottleneck=1 ##time_normalizer=0.5 #lstm_activation=tanh #activation=leaky ########### [convolutional] batch_normalize=1 filters=256 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=512 size=3 stride=1 pad=1 activation=leaky ########### to [yolo-3] [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [upsample] stride=2 [route] layers = -1, 23 ########### [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky #[conv_lstm] #batch_normalize=1 #size=3 #pad=1 #output=128 #groups=1 #peephole=0 #bottleneck=1 ##time_normalizer=0.5 #lstm_activation=tanh #activation=leaky ########### [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky ########### to [yolo-2] [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [upsample] stride=2 [route] layers = -1, 15 ########### [convolutional] batch_normalize=1 filters=64 size=1 stride=1 pad=1 activation=leaky #[conv_lstm] #batch_normalize=1 #size=3 #pad=1 #output=64 #groups=1 #peephole=0 #bottleneck=1 ##time_normalizer=0.5 #lstm_activation=tanh #activation=leaky ########### [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [route] layers= 0 onlyforward=1 [local_avgpool] size=4 stride=4 [route] layers= -1,-3 onlyforward=1 [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=128 size=1 stride=1 pad=1 activation=leaky [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky # Contrastive embeddings [convolutional] batch_normalize=1 filters=1152 size=1 stride=1 pad=1 #activation=tanh #activation=leaky activation=linear [route] layers= -9 #onlyforward=1 [convolutional] batch_normalize=1 filters=256 size=3 stride=1 pad=1 activation=leaky [convolutional] size=1 stride=1 pad=1 filters=765 activation=linear [yolo] mask = 0,1,2,3,4,5,6,7,8 anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326 classes=80 num=9 jitter=.3 scale_x_y = 1.05 cls_normalizer=1.0 iou_normalizer=0.07 iou_loss=ciou ignore_thresh = .7 truth_thresh = 1 random=0 resize=1.5 nms_kind=greedynms beta_nms=0.6 max_delta=5 embedding_layer = -4 track_history_size = 20 sim_thresh = 0.7 dets_for_show = 2 dets_for_track = 8 track_ciou_norm = 0.2 [route] layers= -5 [contrastive] classes=1 temperature=1.0 yolo_layer= -2 cls_normalizer=1.0 max_delta=10