self.anchors, self.strides = (x.transpose(0,1)forxinmake_anchors(x, self.stride,0.5)) self.shape = shape# Split predictions into bounding box and class probability predictionsifself.exportandself.formatin{"saved_model","pb","tflite","edgetpu","tfjs"}: box = x_cat[:, : self.reg_m...
Thank you for your interest in contributing toUltralytics open-sourceYOLO projects. Your participation is crucial in shaping the future of our software and fostering a community of innovation and collaboration. Whether you're improving code, reporting bugs, or suggesting features, your contributions m...
Pro Tip:YOLOv8posemodels use the-posesuffix, i.e.yolov8n-pose.pt. These models are trained on theCOCO keypointsdataset and are suitable for a variety of pose estimation tasks. Models YOLOv8 pretrained Pose models are shown here. Detect, Segment and Pose models are pretrained on theCOCOdata...
Firstly, thank you for using YOLOv8. Regarding your problem with streaming the result of YOLOv8 detection on an RTSP source, it seems like it might be related more to the usage of FFmpeg and the specifics of the video encoding rather than the YOLOv8 model itself. The error message you'...
suffix, img)[1].tofile(filename) return True except Exception: return False def imshow(path, im): imshow_(path.encode('unicode_escape').decode(), im) # Apply monkey patches if the script is being run from within the parent directory of the script's location from .patches import imr...