YOLACT Resnet101-FPN 550px: YOLO Instance Segmentation @KarolMajek
YOLACT Resnet101-FPN 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 Resnet101-FPN 550px: YOLO Instance SegmentationYOLOR D6 2048x1152TF2 DeepLabV3+ Tensorflow 2.0YOLObile - yolov4dense 512x320MMdetection: Cascade Mask RCNN X101 32x4d FPN 20eMobile Mask RCNN with Mobilenet4K Traffic cam analysis with YOLOv3 Part1 - object detectionESPNet CBlitzNet: A Real-Time Deep Network for Scene UnderstandingYOLOR ssss DWT 2048x1152Cascade Mask RCNN X101 64x4d FPN 20e (MMdetection)A2D2 DeepLabv3+ R101 - 1000x1000px input PyTorch
Karol Majek |

YOLACT Resnet101-FPN 550px: YOLO Instance Segmentation

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER