From 25ec3e4a521386fc2e8ef039494ed45c56a642c4 Mon Sep 17 00:00:00 2001
From: felipemasuda <fek_94@hotmail.com>
Date: Thu, 17 Oct 2024 14:31:25 -0300
Subject: [PATCH 1/2] Update of instructions for using custom models in Yolov8
 [README.md]

---
 yolov8/README.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)
 mode change 100644 => 100755 yolov8/README.md

diff --git a/yolov8/README.md b/yolov8/README.md
old mode 100644
new mode 100755
index 8bada0d4..912c3d53
--- a/yolov8/README.md
+++ b/yolov8/README.md
@@ -23,6 +23,12 @@ The tensorrt code is derived from [xiaocao-tian/yolov8_tensorrt](https://github.
 Currently, we support yolov8
 
 - For yolov8 , download .pt from [https://github.com/ultralytics/assets/releases](https://github.com/ultralytics/assets/releases), then follow how-to-run in current page.
+
+## Custom models
+
+- Use ultralytics<=8.2.103 for training.
+- Update kNumClass in [include/config.h](./include/config.h) to the number of classes in the custom model
+
 ## Config
 
 - Choose the model n/s/m/l/x/n2/s2/m2/l2/x2/n6/s6/m6/l6/x6 from command line arguments.
@@ -60,7 +66,6 @@ python gen_wts.py -w yolov5nu.pt -o yolov5nu.wts -t detect
 ### Detection
 ```
 cd {tensorrtx}/yolov8/
-// update kNumClass in config.h if your model is trained on custom dataset
 mkdir build
 cd build
 cp {ultralytics}/ultralytics/yolov8.wts {tensorrtx}/yolov8/build

From 0fac0bc3fac2036091e4311ad4f2f31237a21b4c Mon Sep 17 00:00:00 2001
From: felipemasuda <68308243+felipemasuda@users.noreply.github.com>
Date: Fri, 18 Oct 2024 15:48:43 -0300
Subject: [PATCH 2/2] Update README.md

Fix  ultralytics<=8.2.103
---
 yolov8/README.md | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/yolov8/README.md b/yolov8/README.md
index 912c3d53..ef9a6a8c 100755
--- a/yolov8/README.md
+++ b/yolov8/README.md
@@ -17,6 +17,7 @@ The tensorrt code is derived from [xiaocao-tian/yolov8_tensorrt](https://github.
 
 - TensorRT 8.0+
 - OpenCV 3.4.0+
+- ultralytics<=8.2.103
 
 ## Different versions of yolov8
 
@@ -24,11 +25,6 @@ Currently, we support yolov8
 
 - For yolov8 , download .pt from [https://github.com/ultralytics/assets/releases](https://github.com/ultralytics/assets/releases), then follow how-to-run in current page.
 
-## Custom models
-
-- Use ultralytics<=8.2.103 for training.
-- Update kNumClass in [include/config.h](./include/config.h) to the number of classes in the custom model
-
 ## Config
 
 - Choose the model n/s/m/l/x/n2/s2/m2/l2/x2/n6/s6/m6/l6/x6 from command line arguments.