From f92160b091ef820a6710c446f16d5a0aab0a8ad6 Mon Sep 17 00:00:00 2001 From: Kalen Michael Date: Sun, 7 Aug 2022 12:21:21 +0200 Subject: [PATCH 1/4] fix: added transparent image and empty alt to social bar --- README.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 5bc3c1c41b93..21800e853a1c 100644 --- a/README.md +++ b/README.md @@ -24,31 +24,31 @@ YOLOv5 🚀 is a family of object detection architectures and models pretrained
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From e606eabef97dd21231c084d32afa0355882b809f Mon Sep 17 00:00:00 2001 From: Kalen Michael Date: Sun, 7 Aug 2022 12:24:32 +0200 Subject: [PATCH 2/4] fix: remove underlines --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 21800e853a1c..34e6a91d6ccd 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ YOLOv5 🚀 is a family of object detection architectures and models pretrained

- + From f49d88a84d574651decb88f1de8b57d7ebe076a0 Mon Sep 17 00:00:00 2001 From: Kalen Michael Date: Sun, 7 Aug 2022 12:28:45 +0200 Subject: [PATCH 3/4] fix: hide underlines for all social links --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 34e6a91d6ccd..9db921565250 100644 --- a/README.md +++ b/README.md @@ -27,27 +27,27 @@ YOLOv5 🚀 is a family of object detection architectures and models pretrained - + - + - + - + - + - +
From bea5bdd5d49f79a19dfc8682fb972425995601db Mon Sep 17 00:00:00 2001 From: Kalen Michael Date: Fri, 12 Aug 2022 12:49:20 +0200 Subject: [PATCH 4/4] fix: always unzip into folder --- utils/general.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utils/general.py b/utils/general.py index 85f98cb140b9..c592d022e58c 100755 --- a/utils/general.py +++ b/utils/general.py @@ -480,7 +480,7 @@ def check_dataset(data, autodownload=True): # Download (optional) extract_dir = '' if isinstance(data, (str, Path)) and str(data).endswith('.zip'): # i.e. gs://bucket/dir/coco128.zip - download(data, dir=DATASETS_DIR, unzip=True, delete=False, curl=False, threads=1) + download(data, dir=f'{DATASETS_DIR}/{Path(data).stem}', unzip=True, delete=False, curl=False, threads=1) data = next((DATASETS_DIR / Path(data).stem).rglob('*.yaml')) extract_dir, autodownload = data.parent, False