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These models are trained on deepghs/animepersondetection and open-sourced real photos datasets.
Source du modèle
Description de la source
These models are trained on deepghs/anime_person_detection and open-sourced real photos datasets.
So both anime and photos are supported.
Use this with dghs-realutils
pip install dghs-realutils
Sources
1 sourceVérifié 9 sept.
Artefacts du modèle
16 artefactsperson_detect_v0_l_yv11/model.onnx
onnx · 96,7 MB · SHA-256 4ea719c7fb7f…2657 · Hugging Face
TéléchargerExtraits de sources
2 extraitsfrom realutils.detect import detect_persons
print(detect_persons('yolo/solo.jpg'))
#[((0, 30, 398, 599), 'person', 0.926707923412323)]
print(detect_persons('yolo/2girls.jpg'))
# [((0, 74, 760, 1598), 'person', 0.7578195333480835), ((437, 33, 1200, 1600), 'person', 0.6875205039978027)]
print(detect_persons('yolo/3+cosplay.jpg'))
# [((106, 69, 347, 591), 'person', 0.8794167041778564), ((326, 14, 592, 534), 'person', 0.8018194437026978), ((167, 195, 676, 675), 'person', 0.5351650714874268)]
print(detect_persons('yolo/multiple.jpg'))
# [((1305, 441, 1891, 1534), 'person', 0.8789498805999756), ((206, 191, 932, 1533), 'person', 0.8423126935958862), ((1054, 170, 1417, 1055), 'person', 0.8138357996940613), ((697, 659, 1473, 1534), 'person', 0.7926754951477051), ((685, 247, 1128, 1526), 'person', 0.5261526703834534), ((690, 251, 1125, 1126), 'person', 0.4193646311759949)]
For more information, see documentation of realutils.
| Model | Type | FLOPS | Params | F1 Score | Threshold | precision(B) | recall(B) | mAP50(B) | mAP50-95(B) | F1 Plot | Confusion | Labels |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| person_detect_v0_l_yv11 | yolo | 87.3G | 25.3M | 0.79 | 0.359 | 0.84037 | 0.74055 | 0.82796 | 0.57272 | plot | confusion | person |
| person_detect_v0_m_yv11 | yolo | 68.2G | 20.1M | 0.78 | 0.351 | 0.83393 | 0.73614 |
person_detect_v0_l/model.onnx
onnx · 167 MB · SHA-256 a429224e04e1…79f0 · Hugging Face
person_detect_v0_m_yv11/model.onnx
onnx · 76,6 MB · SHA-256 690427535886…1e64 · Hugging Face
Téléchargerperson_detect_v0_n_yv11/model.onnx
onnx · 10,00 MB · SHA-256 39630caadaeb…4944 · Hugging Face
Téléchargerperson_detect_v0_s_yv11/model.onnx
onnx · 36,1 MB · SHA-256 22e133fcceed…c516 · Hugging Face
Télécharger--- datasets: - deepghs/real_person_detection - deepghs/anime_person_detection pipeline_tag: object-detection library_name: dghs-imgutils tags: - art - anime - photo - person --- These models are trained on [deepghs/anime_person_detection](https://huggingface.co/deepghs/anime_person_detection) and open-sourced real photos datasets. So both anime and photos are supported. Use this with `dghs-realutils` ```shell pip install dghs-realutils ``` ```python from realutils.detect import detect_persons print(detect_persons('yolo/solo.jpg')) #[((0, 30, 398, 599), 'person', 0.926707923412323)] print(detect_persons('yolo/2girls.jpg')) # [((0, 74, 760, 1598), 'person', 0.7578195333480835), ((437, 33, 1200, 1600), 'person', 0.6875205039978027)] print(detect_persons('yolo/3+cosplay.jpg')) # [((106, 69, 347, 591), 'person', 0.8794167041778564), ((326, 14, 592, 534), 'person', 0.8018194437026978), ((167, 195, 676, 675), 'person', 0.5351650714874268)] print(detect_persons('yolo/multiple.jpg')) # [((1305, 441, 1891, 1534), 'person', 0.8789498805999756), ((206, 191, 932, 1533), 'person', 0.8423126935958862), ((1054, 170, 1417, 1055), 'person', 0.8138357996940613), ((697, 659, 1473, 1534), 'person', 0.7926754951477051), ((685, 247, 1128, 1526), 'person', 0.5261526703834534), ((690, 251, 1125, 1126), 'person', 0.4193646311759949)] ``` For more information, see [documentation of realutils](https://dghs-realutils.deepghs.org/main/api_doc/detect/person.html). | Model | Type | FLOPS | Params | F1 Score | Threshold | precision(B) | recall(B) | mAP50(B) | mAP50-95(B) | F1 Plot | Confusion | Labels | |:-----------------------:|:------:|:-------:|:--------:|:----------:|:-----------:|:--------------:|:-----------:|:----------:|:-------------:|:-----------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------:|:--------:| | person_detect_v0_l_yv11 | yolo | 87.3G | 25.3M | 0.79 | 0.359 | 0.84037 | 0.74055 | 0.82796 | 0.57272 | [plot](https://huggingface.co/deepghs/real_person_detection/blob/main/person_detect_v0_l_yv11/F1_curve.png) | [confusion](https://huggingface.co/deepghs/real_person_detection/blob/main/person_detect_v0_l_yv11/confusion_matrix_normalized.png) | `person` | | person_detect_v0_m_yv11 | y...
Source context: 0 downloads · 1 likes · Pipeline object-detection · Library dghs-imgutils · Repo Library-Mutsumi/real_person_detection
| 0.82195 |
| 0.56267 |
| plot |
| confusion |
person |
| person_detect_v0_s_yv11 | yolo | 21.5G | 9.43M | 0.75 | 0.344 | 0.82356 | 0.6967 | 0.79224 | 0.52304 | plot | confusion | person |
| person_detect_v0_n_yv11 | yolo | 6.44G | 2.59M | 0.71 | 0.325 | 0.80096 | 0.64148 | 0.74612 | 0.46875 | plot | confusion | person |
| person_detect_v0_l | yolo | 165G | 43.6M | 0.79 | 0.359 | 0.83674 | 0.74182 | 0.82536 | 0.57022 | plot | confusion | person |
| person_detect_v0_m | yolo | 79.1G | 25.9M | 0.78 | 0.363 | 0.83439 | 0.72529 | 0.81314 | 0.55388 | plot | confusion | person |
| person_detect_v0_s | yolo | 28.6G | 11.1M | 0.76 | 0.346 | 0.82522 | 0.69696 | 0.79105 | 0.52201 | plot | confusion | person |
| person_detect_v0_n | yolo | 8.19G | 3.01M | 0.72 | 0.32 | 0.80883 | 0.64552 | 0.74996 | 0.47272 | plot | confusion | person |