xavier2@xavier2-desktop:~/Anjali/YOLO/darknet$ ./uselib data/coco.names cfg/yolov4-tiny.cfg yolov4-tiny.weights zed_camera Used GPU 0 0 : compute_capability = 720, cudnn_half = 1, GPU: Xavier net.optimized_memory = 0 mini_batch = 1, batch = 1, time_steps = 1, train = 0 layer filters size/strd(dil) input output 0 Create CUDA-stream - 0 Create cudnn-handle 0 conv 32 3 x 3/ 2 416 x 416 x 3 -> 208 x 208 x 32 0.075 BF 1 conv 64 3 x 3/ 2 208 x 208 x 32 -> 104 x 104 x 64 0.399 BF 2 conv 64 3 x 3/ 1 104 x 104 x 64 -> 104 x 104 x 64 0.797 BF 3 route 2 1/2 -> 104 x 104 x 32 4 conv 32 3 x 3/ 1 104 x 104 x 32 -> 104 x 104 x 32 0.199 BF 5 conv 32 3 x 3/ 1 104 x 104 x 32 -> 104 x 104 x 32 0.199 BF 6 route 5 4 -> 104 x 104 x 64 7 conv 64 1 x 1/ 1 104 x 104 x 64 -> 104 x 104 x 64 0.089 BF 8 route 2 7 -> 104 x 104 x 128 9 max 2x 2/ 2 104 x 104 x 128 -> 52 x 52 x 128 0.001 BF 10 conv 128 3 x 3/ 1 52 x 52 x 128 -> 52 x 52 x 128 0.797 BF 11 route 10 1/2 -> 52 x 52 x 64 12 conv 64 3 x 3/ 1 52 x 52 x 64 -> 52 x 52 x 64 0.199 BF 13 conv 64 3 x 3/ 1 52 x 52 x 64 -> 52 x 52 x 64 0.199 BF 14 route 13 12 -> 52 x 52 x 128 15 conv 128 1 x 1/ 1 52 x 52 x 128 -> 52 x 52 x 128 0.089 BF 16 route 10 15 -> 52 x 52 x 256 17 max 2x 2/ 2 52 x 52 x 256 -> 26 x 26 x 256 0.001 BF 18 conv 256 3 x 3/ 1 26 x 26 x 256 -> 26 x 26 x 256 0.797 BF 19 route 18 1/2 -> 26 x 26 x 128 20 conv 128 3 x 3/ 1 26 x 26 x 128 -> 26 x 26 x 128 0.199 BF 21 conv 128 3 x 3/ 1 26 x 26 x 128 -> 26 x 26 x 128 0.199 BF 22 route 21 20 -> 26 x 26 x 256 23 conv 256 1 x 1/ 1 26 x 26 x 256 -> 26 x 26 x 256 0.089 BF 24 route 18 23 -> 26 x 26 x 512 25 max 2x 2/ 2 26 x 26 x 512 -> 13 x 13 x 512 0.000 BF 26 conv 512 3 x 3/ 1 13 x 13 x 512 -> 13 x 13 x 512 0.797 BF 27 conv 256 1 x 1/ 1 13 x 13 x 512 -> 13 x 13 x 256 0.044 BF 28 conv 512 3 x 3/ 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BF 29 conv 255 1 x 1/ 1 13 x 13 x 512 -> 13 x 13 x 255 0.044 BF 30 yolo [yolo] params: iou loss: ciou (4), iou_norm: 0.07, obj_norm: 1.00, cls_norm: 1.00, delta_norm: 1.00, scale_x_y: 1.05 nms_kind: greedynms (1), beta = 0.600000 31 route 27 -> 13 x 13 x 256 32 conv 128 1 x 1/ 1 13 x 13 x 256 -> 13 x 13 x 128 0.011 BF 33 upsample 2x 13 x 13 x 128 -> 26 x 26 x 128 34 route 33 23 -> 26 x 26 x 384 35 conv 256 3 x 3/ 1 26 x 26 x 384 -> 26 x 26 x 256 1.196 BF 36 conv 255 1 x 1/ 1 26 x 26 x 256 -> 26 x 26 x 255 0.088 BF 37 yolo [yolo] params: iou loss: ciou (4), iou_norm: 0.07, obj_norm: 1.00, cls_norm: 1.00, delta_norm: 1.00, scale_x_y: 1.05 nms_kind: greedynms (1), beta = 0.600000 Total BFLOPS 6.910 avg_outputs = 310203 Allocate additional workspace_size = 19.57 MB Loading weights from yolov4-tiny.weights... seen 64, trained: 0 K-images (0 Kilo-batches_64) Done! Loaded 38 layers from weights-file try to allocate additional workspace_size = 19.57 MB CUDA allocate done! object names loaded input image or video filename: ZED 3D Camera SUCCESS