YOLACT Resnet50 550px: YOLO Instance Segmentation @KarolMajek
YOLACT Resnet50 550px: YOLO Instance Segmentation  @KarolMajek
Uploaded June 2019 | Updated September 2026, 1 week ago
Hardware: GTX980m

You Only Look At CoefficienTs
github.com/dbolya/yolact

Command:
python3 eval.py --trained_model=weights/yolact_base_54_800000.pth --score_threshold=0.2 --top_k=150 --video='filename.mp4':yolact_base_54_800000.mp4

a working link to original input 4k video: archive.org/details/0002201705192

Do you drink coffee?
bit.ly/Coffee4Karol
YOLACT Resnet50 550px: YOLO Instance SegmentationTensorRT YOLOv4x Mish 640 - RTX2070 laptopCascade RCNN R50 Caffe C4 1xYOLOv7 e6 1280pxSOTR R101 DCNFCHarDNet70 Cityscapes with augmentation - 1920x1080 inferenceTensorflow Monodepth - Eigen dataset - Geforce TITAN XYOLOv7 e6e 1280pxTensorflow Monodepth - Eigen dataset - Tesla K40, Titan X, GTX 1080Detectron2: Mask RCNN R50 DC5 3xYOLObile best8x 512x320Jetson Nano TensorRT FP16 YOLOv4x Mish 640
Karol Majek |

YOLACT Resnet50 550px: YOLO Instance Segmentation

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