From e94e2e0083288e569111b228386d1cb85bed2a85 Mon Sep 17 00:00:00 2001 From: guis98 <guis98@mi.fu-berlin.de> Date: Mon, 12 Aug 2024 12:18:35 +0200 Subject: [PATCH] files added --- annotate_output.txt | 211 +++++++++++++++ track_output.txt | 633 ++++++++++++++++++++++++++++++++++++++++++++ train_output.txt | 171 ++++++++++++ 3 files changed, 1015 insertions(+) create mode 100644 annotate_output.txt create mode 100644 track_output.txt create mode 100644 train_output.txt diff --git a/annotate_output.txt b/annotate_output.txt new file mode 100644 index 0000000..b650d31 --- /dev/null +++ b/annotate_output.txt @@ -0,0 +1,211 @@ +(ultralytics) [hensdl@headnode01 DL_ultralytics]$ python annotate.py +/home/hensdl/mambaforge/envs/ultralytics/lib/python3.12/site-packages/torch/cuda/__init__.py:619: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") + +image 1/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_0.jpg: 384x640 10 birds, 1 cup, 87.6ms +image 2/205 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/home/hensdl/others/DL_ultralytics/data/frames/frame_65.jpg: 384x640 15 birds, 1 cup, 20.4ms +image 169/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_66.jpg: 384x640 15 birds, 1 cup, 37.2ms +image 170/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_67.jpg: 384x640 16 birds, 1 cup, 26.8ms +image 171/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_68.jpg: 384x640 15 birds, 1 cup, 19.1ms +image 172/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_69.jpg: 384x640 15 birds, 1 cup, 34.6ms +image 173/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_7.jpg: 384x640 11 birds, 1 cup, 18.1ms +image 174/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_70.jpg: 384x640 15 birds, 1 cup, 19.7ms +image 175/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_71.jpg: 384x640 14 birds, 1 cup, 23.2ms +image 176/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_72.jpg: 384x640 12 birds, 1 cup, 20.9ms +image 177/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_73.jpg: 384x640 11 birds, 1 cup, 18.5ms +image 178/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_74.jpg: 384x640 9 birds, 1 cup, 29.8ms +image 179/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_75.jpg: 384x640 9 birds, 1 cup, 38.1ms +image 180/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_76.jpg: 384x640 9 birds, 1 cup, 18.5ms +image 181/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_77.jpg: 384x640 14 birds, 1 cup, 20.6ms +image 182/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_78.jpg: 384x640 15 birds, 1 cup, 22.8ms +image 183/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_79.jpg: 384x640 14 birds, 1 cup, 37.6ms +image 184/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_8.jpg: 384x640 10 birds, 1 cup, 17.9ms +image 185/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_80.jpg: 384x640 13 birds, 1 cup, 17.0ms +image 186/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_81.jpg: 384x640 15 birds, 1 cup, 58.3ms +image 187/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_82.jpg: 384x640 14 birds, 1 cup, 26.7ms +image 188/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_83.jpg: 384x640 14 birds, 1 cup, 37.8ms +image 189/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_84.jpg: 384x640 14 birds, 1 cup, 22.5ms +image 190/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_85.jpg: 384x640 14 birds, 1 cup, 22.0ms +image 191/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_86.jpg: 384x640 13 birds, 1 cup, 18.3ms +image 192/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_87.jpg: 384x640 12 birds, 1 cup, 23.0ms +image 193/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_88.jpg: 384x640 15 birds, 1 cup, 26.2ms +image 194/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_89.jpg: 384x640 13 birds, 1 cup, 28.8ms +image 195/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_9.jpg: 384x640 9 birds, 1 cup, 20.9ms +image 196/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_90.jpg: 384x640 14 birds, 1 cup, 21.3ms +image 197/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_91.jpg: 384x640 14 birds, 1 cup, 19.8ms +image 198/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_92.jpg: 384x640 15 birds, 1 cup, 44.7ms +image 199/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_93.jpg: 384x640 15 birds, 1 cup, 38.2ms +image 200/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_94.jpg: 384x640 15 birds, 1 cup, 18.7ms +image 201/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_95.jpg: 384x640 14 birds, 1 cup, 27.0ms +image 202/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_96.jpg: 384x640 15 birds, 24.4ms +image 203/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_97.jpg: 384x640 15 birds, 1 cup, 19.3ms +image 204/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_98.jpg: 384x640 16 birds, 21.0ms +image 205/205 /home/hensdl/others/DL_ultralytics/data/frames/frame_99.jpg: 384x640 15 birds, 1 cup, 20.6ms +Speed: 3.3ms preprocess, 27.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640) +(ultralytics) [hensdl@headnode01 DL_ultralytics]$ \ No newline at end of file diff --git a/track_output.txt b/track_output.txt new file mode 100644 index 0000000..3f34aaf --- /dev/null +++ b/track_output.txt @@ -0,0 +1,633 @@ +(ultralytics) [hensdl@headnode01 DL_ultralytics]$ python track.py +requirements: Ultralytics requirement ['lapx>=0.5.2'] not found, attempting AutoUpdate... +Looking in indexes: https://pypi.org/simple, https://git.imp.fu-berlin.de/api/v4/projects/6392/packages/pypi/simple +Collecting lapx>=0.5.2 + Downloading lapx-0.5.9.post1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.1 kB) +Requirement already satisfied: numpy>=1.21.6 in /home/hensdl/mambaforge/envs/ultralytics/lib/python3.12/site-packages (from lapx>=0.5.2) (1.26.4) +Downloading lapx-0.5.9.post1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB) + ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 32.7 MB/s eta 0:00:00 +Installing collected packages: lapx +Successfully installed lapx-0.5.9.post1 + +requirements: AutoUpdate success ✅ 2.7s, installed 1 package: ['lapx>=0.5.2'] +requirements: ⚠️ Restart runtime or rerun command for updates to take effect + +/home/hensdl/mambaforge/envs/ultralytics/lib/python3.12/site-packages/torch/cuda/__init__.py:619: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") + +0: 384x640 11 hens, 96.7ms +Speed: 8.3ms preprocess, 96.7ms inference, 95.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 20.2ms +Speed: 5.0ms preprocess, 20.2ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 54.0ms +Speed: 2.5ms preprocess, 54.0ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 21.2ms +Speed: 2.5ms preprocess, 21.2ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 20.5ms +Speed: 4.1ms preprocess, 20.5ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 21.2ms +Speed: 2.1ms preprocess, 21.2ms inference, 5.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 26.2ms +Speed: 3.2ms preprocess, 26.2ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.8ms +Speed: 2.7ms preprocess, 19.8ms inference, 39.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 20.5ms +Speed: 2.3ms preprocess, 20.5ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.7ms +Speed: 2.4ms preprocess, 19.7ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.7ms +Speed: 2.4ms preprocess, 19.7ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 21.5ms +Speed: 3.8ms preprocess, 21.5ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 47.7ms +Speed: 3.7ms preprocess, 47.7ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 22.0ms +Speed: 4.3ms preprocess, 22.0ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.6ms +Speed: 3.3ms preprocess, 19.6ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.8ms +Speed: 2.5ms preprocess, 19.8ms inference, 5.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 20.0ms +Speed: 3.6ms preprocess, 20.0ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.9ms +Speed: 2.6ms preprocess, 19.9ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 20.1ms +Speed: 3.0ms preprocess, 20.1ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 49.3ms +Speed: 4.2ms preprocess, 49.3ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 39.2ms +Speed: 9.3ms preprocess, 39.2ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 40.6ms +Speed: 2.3ms preprocess, 40.6ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 34.3ms +Speed: 2.8ms preprocess, 34.3ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.8ms +Speed: 5.5ms preprocess, 19.8ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.7ms +Speed: 3.3ms preprocess, 19.7ms inference, 6.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 21.3ms +Speed: 3.0ms preprocess, 21.3ms inference, 5.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 25.8ms +Speed: 3.4ms preprocess, 25.8ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.1ms +Speed: 5.2ms preprocess, 20.1ms inference, 5.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.7ms +Speed: 2.3ms preprocess, 19.7ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 21.5ms +Speed: 4.3ms preprocess, 21.5ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 42.0ms +Speed: 3.0ms preprocess, 42.0ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.9ms +Speed: 2.2ms preprocess, 19.9ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.8ms +Speed: 4.2ms preprocess, 19.8ms inference, 2.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.2ms +Speed: 2.6ms preprocess, 20.2ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.6ms +Speed: 2.5ms preprocess, 20.6ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.2ms +Speed: 2.1ms preprocess, 20.2ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.3ms +Speed: 2.3ms preprocess, 20.3ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 45.4ms +Speed: 2.8ms preprocess, 45.4ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 30.1ms +Speed: 17.8ms preprocess, 30.1ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.1ms +Speed: 12.9ms preprocess, 20.1ms inference, 12.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 21.8ms +Speed: 2.4ms preprocess, 21.8ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.5ms +Speed: 4.5ms preprocess, 20.5ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 24.0ms +Speed: 3.2ms preprocess, 24.0ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 23.1ms +Speed: 3.1ms preprocess, 23.1ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 20.3ms +Speed: 3.2ms preprocess, 20.3ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.7ms +Speed: 3.5ms preprocess, 19.7ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.7ms +Speed: 3.1ms preprocess, 19.7ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.7ms +Speed: 2.4ms preprocess, 19.7ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 23.0ms +Speed: 5.2ms preprocess, 23.0ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.8ms +Speed: 2.4ms preprocess, 19.8ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.6ms +Speed: 4.5ms preprocess, 20.6ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.7ms +Speed: 3.7ms preprocess, 19.7ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 21.0ms +Speed: 2.7ms preprocess, 21.0ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.8ms +Speed: 2.5ms preprocess, 19.8ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 46.9ms +Speed: 3.4ms preprocess, 46.9ms inference, 48.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 25.4ms +Speed: 2.6ms preprocess, 25.4ms inference, 7.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 2.8ms preprocess, 19.7ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 20.2ms +Speed: 4.6ms preprocess, 20.2ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 4.5ms preprocess, 19.7ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 2.3ms preprocess, 19.7ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 47.5ms +Speed: 2.9ms preprocess, 47.5ms inference, 5.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.1ms +Speed: 2.9ms preprocess, 20.1ms inference, 5.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 43.9ms +Speed: 4.2ms preprocess, 43.9ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.0ms +Speed: 2.3ms preprocess, 20.0ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.9ms +Speed: 2.1ms preprocess, 19.9ms inference, 42.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.6ms +Speed: 2.6ms preprocess, 19.6ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.7ms +Speed: 3.9ms preprocess, 19.7ms inference, 2.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 21.3ms +Speed: 3.9ms preprocess, 21.3ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 50.7ms +Speed: 10.1ms preprocess, 50.7ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 35.2ms +Speed: 3.2ms preprocess, 35.2ms inference, 6.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.9ms +Speed: 3.4ms preprocess, 19.9ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.9ms +Speed: 3.2ms preprocess, 19.9ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.2ms +Speed: 2.5ms preprocess, 20.2ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 3.2ms preprocess, 19.7ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 2.3ms preprocess, 19.7ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.8ms +Speed: 4.1ms preprocess, 19.8ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.7ms +Speed: 2.9ms preprocess, 19.7ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.0ms +Speed: 2.8ms preprocess, 20.0ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.2ms +Speed: 4.3ms preprocess, 20.2ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 26.2ms +Speed: 11.9ms preprocess, 26.2ms inference, 8.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 31.7ms +Speed: 6.2ms preprocess, 31.7ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 23.0ms +Speed: 3.1ms preprocess, 23.0ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 45.9ms +Speed: 4.1ms preprocess, 45.9ms inference, 6.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.9ms +Speed: 3.3ms preprocess, 19.9ms inference, 5.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.8ms +Speed: 2.6ms preprocess, 19.8ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.7ms +Speed: 4.4ms preprocess, 20.7ms inference, 4.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.3ms +Speed: 4.3ms preprocess, 20.3ms inference, 4.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 4.7ms preprocess, 19.7ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 27.1ms +Speed: 17.8ms preprocess, 27.1ms inference, 9.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.8ms +Speed: 3.5ms preprocess, 19.8ms inference, 5.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 23.7ms +Speed: 4.4ms preprocess, 23.7ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.1ms +Speed: 5.5ms preprocess, 20.1ms inference, 9.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.6ms +Speed: 2.8ms preprocess, 19.6ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 27.9ms +Speed: 2.4ms preprocess, 27.9ms inference, 8.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.7ms +Speed: 2.7ms preprocess, 19.7ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 21.6ms +Speed: 4.1ms preprocess, 21.6ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 24.6ms +Speed: 2.8ms preprocess, 24.6ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 34.7ms +Speed: 4.6ms preprocess, 34.7ms inference, 17.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 40.1ms +Speed: 3.2ms preprocess, 40.1ms inference, 4.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.9ms +Speed: 3.9ms preprocess, 19.9ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.9ms +Speed: 7.8ms preprocess, 19.9ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 43.2ms +Speed: 3.6ms preprocess, 43.2ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 21.4ms +Speed: 11.5ms preprocess, 21.4ms inference, 4.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 30.4ms +Speed: 3.6ms preprocess, 30.4ms inference, 5.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.8ms +Speed: 2.5ms preprocess, 19.8ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.6ms +Speed: 3.0ms preprocess, 19.6ms inference, 2.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 2.5ms preprocess, 19.7ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 2.8ms preprocess, 19.7ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 2.6ms preprocess, 19.7ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 19.7ms +Speed: 3.3ms preprocess, 19.7ms inference, 8.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 19.6ms +Speed: 3.8ms preprocess, 19.6ms inference, 2.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 19.9ms +Speed: 4.2ms preprocess, 19.9ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 19.9ms +Speed: 9.7ms preprocess, 19.9ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 41.5ms +Speed: 2.5ms preprocess, 41.5ms inference, 5.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 30.5ms +Speed: 6.5ms preprocess, 30.5ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 24.3ms +Speed: 5.0ms preprocess, 24.3ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 20.4ms +Speed: 3.0ms preprocess, 20.4ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.7ms +Speed: 3.5ms preprocess, 19.7ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 20.1ms +Speed: 3.0ms preprocess, 20.1ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.8ms +Speed: 3.3ms preprocess, 19.8ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.1ms +Speed: 3.4ms preprocess, 20.1ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 19.7ms +Speed: 3.0ms preprocess, 19.7ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 11 hens, 20.9ms +Speed: 3.2ms preprocess, 20.9ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.6ms +Speed: 2.8ms preprocess, 19.6ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 19.9ms +Speed: 3.2ms preprocess, 19.9ms inference, 6.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 20.4ms +Speed: 3.6ms preprocess, 20.4ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 12 hens, 20.2ms +Speed: 2.9ms preprocess, 20.2ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.9ms +Speed: 3.9ms preprocess, 19.9ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.9ms +Speed: 4.0ms preprocess, 19.9ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.8ms +Speed: 3.9ms preprocess, 19.8ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.6ms +Speed: 2.2ms preprocess, 19.6ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.7ms +Speed: 2.7ms preprocess, 20.7ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.8ms +Speed: 2.2ms preprocess, 20.8ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.7ms +Speed: 3.0ms preprocess, 19.7ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.8ms +Speed: 2.9ms preprocess, 19.8ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.6ms +Speed: 2.6ms preprocess, 19.6ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 19.7ms +Speed: 2.2ms preprocess, 19.7ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.0ms +Speed: 3.6ms preprocess, 20.0ms inference, 4.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.7ms +Speed: 3.1ms preprocess, 19.7ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.8ms +Speed: 3.4ms preprocess, 19.8ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.8ms +Speed: 3.3ms preprocess, 19.8ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 2.8ms preprocess, 19.7ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 3.0ms preprocess, 19.7ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 3.1ms preprocess, 19.7ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 20.0ms +Speed: 2.8ms preprocess, 20.0ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.7ms +Speed: 2.2ms preprocess, 19.7ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 32.8ms +Speed: 2.2ms preprocess, 32.8ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 20.6ms +Speed: 3.7ms preprocess, 20.6ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.9ms +Speed: 2.8ms preprocess, 19.9ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.9ms +Speed: 2.1ms preprocess, 19.9ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.6ms +Speed: 2.4ms preprocess, 19.6ms inference, 27.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.7ms +Speed: 3.0ms preprocess, 20.7ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.1ms +Speed: 3.1ms preprocess, 20.1ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.8ms +Speed: 2.9ms preprocess, 19.8ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 36.1ms +Speed: 2.5ms preprocess, 36.1ms inference, 4.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.0ms +Speed: 2.3ms preprocess, 20.0ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.2ms +Speed: 4.2ms preprocess, 20.2ms inference, 5.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.0ms +Speed: 4.8ms preprocess, 20.0ms inference, 3.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 37.0ms +Speed: 18.2ms preprocess, 37.0ms inference, 10.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.7ms +Speed: 2.2ms preprocess, 19.7ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.5ms +Speed: 2.6ms preprocess, 20.5ms inference, 5.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 36.8ms +Speed: 2.9ms preprocess, 36.8ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.7ms +Speed: 3.9ms preprocess, 20.7ms inference, 23.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 23.8ms +Speed: 4.2ms preprocess, 23.8ms inference, 19.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.9ms +Speed: 3.4ms preprocess, 19.9ms inference, 4.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 25.2ms +Speed: 13.2ms preprocess, 25.2ms inference, 19.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 20.4ms +Speed: 4.1ms preprocess, 20.4ms inference, 24.7ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 13 hens, 24.5ms +Speed: 3.7ms preprocess, 24.5ms inference, 3.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 24.2ms +Speed: 5.4ms preprocess, 24.2ms inference, 6.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 20.0ms +Speed: 6.0ms preprocess, 20.0ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 19.9ms +Speed: 3.0ms preprocess, 19.9ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 14 hens, 47.4ms +Speed: 3.0ms preprocess, 47.4ms inference, 5.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 19.6ms +Speed: 2.5ms preprocess, 19.6ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 21.1ms +Speed: 3.2ms preprocess, 21.1ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.5ms +Speed: 2.8ms preprocess, 20.5ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 39.5ms +Speed: 3.6ms preprocess, 39.5ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 2.2ms preprocess, 19.7ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.4ms +Speed: 3.6ms preprocess, 20.4ms inference, 46.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 22.4ms +Speed: 3.5ms preprocess, 22.4ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.8ms +Speed: 2.6ms preprocess, 19.8ms inference, 5.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.1ms +Speed: 5.9ms preprocess, 20.1ms inference, 2.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 21.4ms +Speed: 2.8ms preprocess, 21.4ms inference, 5.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.0ms +Speed: 2.6ms preprocess, 20.0ms inference, 22.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.8ms +Speed: 2.4ms preprocess, 19.8ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 61.9ms +Speed: 3.3ms preprocess, 61.9ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 4.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.9ms +Speed: 3.1ms preprocess, 19.9ms inference, 3.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.0ms +Speed: 3.6ms preprocess, 20.0ms inference, 2.9ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.4ms +Speed: 2.8ms preprocess, 20.4ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.8ms +Speed: 2.9ms preprocess, 19.8ms inference, 3.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 22.2ms +Speed: 5.4ms preprocess, 22.2ms inference, 3.2ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 26.9ms +Speed: 2.4ms preprocess, 26.9ms inference, 2.1ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 3.2ms preprocess, 19.7ms inference, 4.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 20.3ms +Speed: 4.5ms preprocess, 20.3ms inference, 4.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 16 hens, 19.7ms +Speed: 2.1ms preprocess, 19.7ms inference, 3.0ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 19.6ms +Speed: 2.3ms preprocess, 19.6ms inference, 3.4ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 20.1ms +Speed: 4.0ms preprocess, 20.1ms inference, 5.3ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 19.6ms +Speed: 3.0ms preprocess, 19.6ms inference, 3.5ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 17 hens, 20.5ms +Speed: 3.9ms preprocess, 20.5ms inference, 2.6ms postprocess per image at shape (1, 3, 384, 640) + +0: 384x640 15 hens, 20.1ms +Speed: 2.7ms preprocess, 20.1ms inference, 2.8ms postprocess per image at shape (1, 3, 384, 640) +Video frame is empty or video processing has been successfully completed. +(ultralytics) [hensdl@headnode01 DL_ultralytics]$ \ No newline at end of file diff --git a/train_output.txt b/train_output.txt new file mode 100644 index 0000000..c0f764d --- /dev/null +++ b/train_output.txt @@ -0,0 +1,171 @@ +yolo task=segment mode=train model=yolov8x-seg data=data.yaml epochs=20 imgsz=640 +New https://pypi.org/project/ultralytics/8.2.39 available 😃 Update with 'pip install -U ultralytics' +/home/hensdl/mambaforge/envs/ultralytics/lib/python3.12/site-packages/torch/cuda/__init__.py:619: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") +Ultralytics YOLOv8.2.38 🚀 Python-3.12.4 torch-2.3.1 CUDA:0 (Tesla V100-PCIE-32GB, 32501MiB) +engine/trainer: task=segment, mode=train, model=yolov8x-seg, data=data.yaml, epochs=20, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train2, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/segment/train2 +Downloading https://ultralytics.com/assets/Arial.ttf to '/home/hensdl/.config/Ultralytics/Arial.ttf'... +100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████| 755k/755k [00:00<00:00, 20.3MB/s] +Overriding model.yaml nc=80 with nc=1 + + from n params module arguments + 0 -1 1 2320 ultralytics.nn.modules.conv.Conv [3, 80, 3, 2] + 1 -1 1 115520 ultralytics.nn.modules.conv.Conv [80, 160, 3, 2] + 2 -1 3 436800 ultralytics.nn.modules.block.C2f [160, 160, 3, True] + 3 -1 1 461440 ultralytics.nn.modules.conv.Conv [160, 320, 3, 2] + 4 -1 6 3281920 ultralytics.nn.modules.block.C2f [320, 320, 6, True] + 5 -1 1 1844480 ultralytics.nn.modules.conv.Conv [320, 640, 3, 2] + 6 -1 6 13117440 ultralytics.nn.modules.block.C2f [640, 640, 6, True] + 7 -1 1 3687680 ultralytics.nn.modules.conv.Conv [640, 640, 3, 2] + 8 -1 3 6969600 ultralytics.nn.modules.block.C2f [640, 640, 3, True] + 9 -1 1 1025920 ultralytics.nn.modules.block.SPPF [640, 640, 5] + 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] + 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] + 12 -1 3 7379200 ultralytics.nn.modules.block.C2f [1280, 640, 3] + 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] + 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] + 15 -1 3 1948800 ultralytics.nn.modules.block.C2f [960, 320, 3] + 16 -1 1 922240 ultralytics.nn.modules.conv.Conv [320, 320, 3, 2] + 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] + 18 -1 3 7174400 ultralytics.nn.modules.block.C2f [960, 640, 3] + 19 -1 1 3687680 ultralytics.nn.modules.conv.Conv [640, 640, 3, 2] + 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] + 21 -1 3 7379200 ultralytics.nn.modules.block.C2f [1280, 640, 3] + 22 [15, 18, 21] 1 12317171 ultralytics.nn.modules.head.Segment [1, 32, 320, [320, 640, 640]] +YOLOv8x-seg summary: 401 layers, 71751811 parameters, 71751795 gradients + +Transferred 651/657 items from pretrained weights +Freezing layer 'model.22.dfl.conv.weight' +AMP: running Automatic Mixed Precision (AMP) checks with YOLOv8n... +Downloading https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt to 'yolov8n.pt'... +100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6.23M/6.23M [00:00<00:00, 63.2MB/s] +AMP: checks passed ✅ +train: Scanning /home/hensdl/others/DL_ultralytics/train/labels... 185 images, 0 backgrounds, 0 corrupt: 100%|██████████| 185/185 [00:00<00:00 +train: WARNING ⚠️ /home/hensdl/others/DL_ultralytics/train/images/frame_123.jpg: 1 duplicate labels removed +train: WARNING ⚠️ /home/hensdl/others/DL_ultralytics/train/images/frame_133.jpg: 1 duplicate labels removed +train: WARNING ⚠️ /home/hensdl/others/DL_ultralytics/train/images/frame_24.jpg: 1 duplicate labels removed +train: New cache created: /home/hensdl/others/DL_ultralytics/train/labels.cache +val: Scanning /home/hensdl/others/DL_ultralytics/val/labels... 20 images, 0 backgrounds, 0 corrupt: 100%|██████████| 20/20 [00:00<00:00, 137.6 +val: WARNING ⚠️ /home/hensdl/others/DL_ultralytics/val/images/frame_188.jpg: 1 duplicate labels removed +val: New cache created: /home/hensdl/others/DL_ultralytics/val/labels.cache +Plotting labels to runs/segment/train2/labels.jpg... +optimizer: 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... +optimizer: AdamW(lr=0.002, momentum=0.9) with parameter groups 106 weight(decay=0.0), 117 weight(decay=0.0005), 116 bias(decay=0.0) +Image sizes 640 train, 640 val +Using 8 dataloader workers +Logging results to runs/segment/train2 +Starting training for 20 epochs... + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 1/20 14.5G 1.035 1.742 2.63 1.08 182 640: 100%|██████████| 12/12 [00:10<00:00, 1.15it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.395 0.807 0.722 0.593 0.413 0.835 0.782 0.614 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 2/20 15.2G 0.5767 0.86 0.7767 0.8687 184 640: 100%|██████████| 12/12 [00:07<00:00, 1.62it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.537 0.851 0.538 0.436 0.572 0.908 0.591 0.44 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 3/20 15.4G 0.5211 0.7058 0.6693 0.8538 164 640: 100%|██████████| 12/12 [00:07<00:00, 1.65it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.737 0.462 0.498 0.381 0.73 0.458 0.488 0.355 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 4/20 15.4G 0.5178 0.7812 0.6236 0.8504 193 640: 100%|██████████| 12/12 [00:07<00:00, 1.63it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.826 0.382 0.543 0.432 0.826 0.382 0.549 0.406 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 5/20 15.4G 0.5213 0.683 0.5679 0.8503 204 640: 100%|██████████| 12/12 [00:07<00:00, 1.65it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.826 0.382 0.543 0.432 0.826 0.382 0.549 0.406 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 6/20 15.1G 0.5125 0.6198 0.5621 0.846 227 640: 100%|██████████| 12/12 [00:07<00:00, 1.66it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.8 0.0803 0.138 0.12 0.8 0.0803 0.139 0.0779 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 7/20 15.3G 0.5273 0.5671 0.601 0.8551 169 640: 100%|██████████| 12/12 [00:07<00:00, 1.67it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.422 0.759 0.549 0.454 0.43 0.779 0.542 0.461 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 8/20 15.2G 0.4966 0.5834 0.5286 0.8493 135 640: 100%|██████████| 12/12 [00:07<00:00, 1.68it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.577 0.751 0.775 0.648 0.557 0.847 0.778 0.625 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 9/20 15.1G 0.4786 0.5685 0.5229 0.8354 175 640: 100%|██████████| 12/12 [00:07<00:00, 1.69it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.775 0.663 0.846 0.735 0.775 0.663 0.845 0.677 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 10/20 15.2G 0.4558 0.5806 0.5063 0.8278 203 640: 100%|██████████| 12/12 [00:07<00:00, 1.70it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.874 0.799 0.902 0.78 0.795 0.904 0.899 0.743 +Closing dataloader mosaic + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 11/20 14.7G 0.4068 0.4994 0.5296 0.8298 104 640: 100%|██████████| 12/12 [00:08<00:00, 1.43it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.83 0.759 0.859 0.738 0.838 0.759 0.841 0.678 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 12/20 14.7G 0.382 0.4771 0.4798 0.8223 105 640: 100%|██████████| 12/12 [00:07<00:00, 1.62it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.889 0.635 0.735 0.642 0.88 0.635 0.752 0.646 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 13/20 14.7G 0.3807 0.4497 0.4837 0.8149 108 640: 100%|██████████| 12/12 [00:07<00:00, 1.60it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.843 0.924 0.942 0.808 0.871 0.956 0.953 0.786 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 14/20 14.7G 0.3505 0.4561 0.4571 0.8091 105 640: 100%|██████████| 12/12 [00:07<00:00, 1.63it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.852 0.951 0.957 0.825 0.874 0.972 0.964 0.813 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 15/20 14.7G 0.3339 0.4242 0.4511 0.8084 105 640: 100%|██████████| 12/12 [00:07<00:00, 1.61it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.845 0.944 0.944 0.835 0.873 0.976 0.961 0.815 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 16/20 14.7G 0.3212 0.4018 0.4265 0.7998 117 640: 100%|██████████| 12/12 [00:07<00:00, 1.61it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.733 0.94 0.922 0.832 0.764 0.98 0.934 0.792 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 17/20 14.7G 0.3068 0.4096 0.4088 0.8024 107 640: 100%|██████████| 12/12 [00:07<00:00, 1.54it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.833 0.942 0.946 0.852 0.857 0.966 0.946 0.815 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 18/20 14.6G 0.286 0.3804 0.3952 0.8049 110 640: 100%|██████████| 12/12 [00:07<00:00, 1.54it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.836 0.939 0.944 0.861 0.864 0.98 0.949 0.8 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 19/20 14.7G 0.2763 0.363 0.3742 0.7964 108 640: 100%|██████████| 12/12 [00:07<00:00, 1.52it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.851 0.936 0.954 0.869 0.87 0.972 0.954 0.807 + + Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size + 20/20 14.7G 0.2626 0.3752 0.3671 0.789 104 640: 100%|██████████| 12/12 [00:07<00:00, 1.53it/s] + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.849 0.936 0.954 0.874 0.871 0.976 0.958 0.812 + +20 epochs completed in 0.061 hours. +Optimizer stripped from runs/segment/train2/weights/last.pt, 143.9MB +Optimizer stripped from runs/segment/train2/weights/best.pt, 143.9MB + +Validating runs/segment/train2/weights/best.pt... +Ultralytics YOLOv8.2.38 🚀 Python-3.12.4 torch-2.3.1 CUDA:0 (Tesla V100-PCIE-32GB, 32501MiB) +YOLOv8x-seg summary (fused): 295 layers, 71721619 parameters, 0 gradients + Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95): 100%|██████████| + all 20 249 0.85 0.936 0.954 0.874 0.871 0.976 0.958 0.811 +Speed: 0.2ms preprocess, 6.2ms inference, 0.0ms loss, 1.0ms postprocess per image +Results saved to runs/segment/train2 +💡 Learn more at https://docs.ultralytics.com/modes/train \ No newline at end of file -- GitLab