From c0f972098f240c437ba33f871e9fc256497d786b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=BE=D0=BB=D0=B5=D1=81=D0=BD=D0=B8=D0=BA=D0=BE?= =?UTF-8?q?=D0=B2=20=D0=94=D0=BC=D0=B8=D1=82=D1=80=D0=B8=D0=B9=20=D0=90?= =?UTF-8?q?=D0=BD=D0=B4=D1=80=D0=B5=D0=B5=D0=B2=D0=B8=D1=87?= Date: Thu, 25 Jul 2024 15:58:10 +0300 Subject: [PATCH] fix docs pypi --- patched_yolo_infer/README.md | 6 ------ 1 file changed, 6 deletions(-) diff --git a/patched_yolo_infer/README.md b/patched_yolo_infer/README.md index 3972cf7..06a73a3 100644 --- a/patched_yolo_infer/README.md +++ b/patched_yolo_infer/README.md @@ -7,12 +7,6 @@ The library also provides a sleek customization of the visualization of the infe **Model Support**: The library offers support for multiple ultralytics deep learning [models](https://docs.ultralytics.com/models/), such as YOLOv8, YOLOv8-seg, YOLOv9, YOLOv9-seg, YOLOv10, FastSAM, and RTDETR. Users can select from pre-trained options or utilize custom-trained models to best meet their task requirements. -__Explanation of how Patch-Based-Inference works:__ - -

- patched_inf_explanation -

- ## Installation You can install the library via pip: