YOLACT Resnet101-FPN 700px: YOLO Instance Segmentation @KarolMajek
YOLACT Resnet101-FPN 700px: YOLO Instance Segmentation  @KarolMajek
Uploaded June 2019 | Updated September 2026, 3 weeks 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

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YOLACT Resnet101-FPN 700px: YOLO Instance SegmentationFaster RCNN R50 Caffe C4 1xMask RCNN Inception Resnet v2 Atrous from Tensorflow ModelsCenterNet HourGlass104 Keypoints 512x512 - TensorFlow 2 Object Detection API TF2AlphaPose Fast R50 256x192EfficientDet D4 - Yet Another EfficientDet PytorchIntel Realsense T265 tracking camera test - ROS driverSSD ResNet 50 FPN COCO TensorFlow object detectionDetectron2: Mask RCNN R50 FPN 3x - COCO - Instance Segmentation GTX 980mOpenVSLAM Localization - Jetson Nano - Fisheye cameraYOLOv3 CSP ResneXt50 panet spp original optimal (AlexeyAB)YOLOPv2
Karol Majek |

YOLACT Resnet101-FPN 700px: YOLO Instance Segmentation

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