From 23959ef43d0ea5c3aeeb6e07f41391d660f48b54 Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Fri, 5 Jul 2024 14:24:07 +0200
Subject: [PATCH] Add Discourse at https://community.ultralytics.com (#15)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
---
 README.md         | 2 +-
 utils/datasets.py | 1 +
 utils/utils.py    | 3 +--
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 05c2b38..44045a2 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@
 
 Welcome to the Ultralytics software directory! Our codebase is open-source and 🔓 **distributed under the AGPL-3.0 license**. Explore more about Ultralytics and our cutting-edge projects at [our website](http://www.ultralytics.com).
 
-[![Ultralytics Actions](https://github.com/ultralytics/xview-docker/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/xview-docker/actions/workflows/format.yml) <a href="https://ultralytics.com/discord"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a>
+[![Ultralytics Actions](https://github.com/ultralytics/xview-docker/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/xview-docker/actions/workflows/format.yml) <a href="https://ultralytics.com/discord"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a> <a href="https://community.ultralytics.com"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a>
 
 # Project Overview :page_facing_up:
 
diff --git a/utils/datasets.py b/utils/datasets.py
index d38f0a4..d2537de 100755
--- a/utils/datasets.py
+++ b/utils/datasets.py
@@ -401,6 +401,7 @@ def resize_square(img, height=416, color=(0, 0, 0)):  # resizes a rectangular im
 def random_affine(
     img, targets=None, degrees=(-10, 10), translate=(0.1, 0.1), scale=(0.9, 1.1), shear=(-3, 3), borderValue=(0, 0, 0)
 ):
+    """Applies a random affine transformation to an image and updates target labels accordingly."""
     # torchvision.transforms.RandomAffine(degrees=(-10, 10), translate=(.1, .1), scale=(.9, 1.1), shear=(-10, 10))
     # https://medium.com/uruvideo/dataset-augmentation-with-random-homographies-a8f4b44830d4
     border = 750
diff --git a/utils/utils.py b/utils/utils.py
index 9d7c641..3551289 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -424,9 +424,7 @@ def build_targets(pred_boxes, pred_conf, pred_cls, target, anchor_wh, nA, nC, nG
     return tx, ty, tw, th, tconf, tcls, TP, FP, FN, TC
 
 
-# @profile
 def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4, mat=None, img=None, model2=None, device="cpu"):
-    prediction = prediction.cpu()
     """
     Removes detections with lower object confidence score than 'conf_thres' and performs Non-Maximum Suppression to
     further filter detections.
@@ -434,6 +432,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.4, mat=None, img
     Returns detections with shape:
         (x1, y1, x2, y2, object_conf, class_score, class_pred)
     """
+    prediction = prediction.cpu()
 
     output = [None for _ in range(len(prediction))]
     # Filter out confidence scores below threshold