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AlanBlanchetAlanBlanchet
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[DEV]Classification & advance on detection
Added some algorithms for detection (RCNN ...) Removed some configs. Launched classification runs on all the data with best models. Adapted some new models. Tried a new optimizer named lion. Added bounding box metrics such as mAP. Tried other models. Fixed whitening
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‎.gitignore‎

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# Logs
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logs/
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runs/
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wandb/
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# Byte-compiled / optimized / DLL files

‎README.md‎

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- EfficientDet
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- Pistes de recherche:
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- Feature extractions:
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- Scale Invariant Feature T
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- Harris Corner Detector
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- ORB : https://www.gwylab.com/download/ORB_2012.pdf
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- Mixup : https://arxiv.org/abs/1710.09412v2
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- Mosaic : https://iopscience.iop.org/article/10.1088/1742-6596/1684/1/012094/pdf
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- Mosaic guillotine split : http://pds25.egloos.com/pds/201504/21/98/RectangleBinPack.pdf
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# Tâches
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- [ ] Preprocessing
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- [x] Preprocessing
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- [x] Equalization
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- [ ] Whitening
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- [ ] Réaliser un réseau CNN manuellement
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- [ ] Réaliser un transfer learning d'un CNN
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- [ ] Dernières couches
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- [ ] Choisir des couches
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- [x] Whitening
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- [x] Réaliser un réseau CNN manuellement
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- [x] Réaliser un transfer learning d'un CNN
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- [x] Dernières couches
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- [x] Choisir des couches
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- [x] Data augmentations
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- [ ] Programme simple

‎configs/README.md‎

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# Models
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- convit_base
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- convit_small
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- convit_tiny
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- crossvit_9_240
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- crossvit_9_dagger_240
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- crossvit_15_240
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- crossvit_15_dagger_240
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- crossvit_15_dagger_408
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- crossvit_18_240
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- crossvit_18_dagger_240
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- crossvit_18_dagger_408
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- crossvit_base_240
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- crossvit_small_240
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- crossvit_tiny_240
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- davit_base
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- davit_giant
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- davit_huge
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- davit_large
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- davit_small
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- davit_tiny
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- efficientvit_b0
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- efficientvit_b1
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- efficientvit_b2
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- efficientvit_b3
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- efficientvit_m0
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- efficientvit_m1
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- efficientvit_m2
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- efficientvit_m3
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- efficientvit_m4
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- efficientvit_m5
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- fastvit_ma36
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- fastvit_s12
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- fastvit_sa12
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- fastvit_sa24
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- fastvit_sa36
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- fastvit_t8
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- fastvit_t12
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- flexivit_base
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- flexivit_large
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- flexivit_small
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- gcvit_base
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- gcvit_small
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- gcvit_tiny
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- gcvit_xtiny
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- gcvit_xxtiny
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- levit_128
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- levit_128s
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- levit_192
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- levit_256
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- levit_256d
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- levit_384
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- levit_384_s8
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- levit_512
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- levit_512_s8
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- levit_512d
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- levit_conv_128
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- levit_conv_128s
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- levit_conv_192
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- levit_conv_256
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- levit_conv_256d
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- levit_conv_384
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- levit_conv_384_s8
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- levit_conv_512
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- levit_conv_512_s8
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- levit_conv_512d
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- maxvit_base_tf_224
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- maxvit_base_tf_384
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- maxvit_base_tf_512
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- maxvit_large_tf_224
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- maxvit_large_tf_384
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- maxvit_large_tf_512
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- maxvit_nano_rw_256
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- maxvit_pico_rw_256
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- maxvit_rmlp_base_rw_224
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- maxvit_rmlp_base_rw_384
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- maxvit_rmlp_nano_rw_256
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- maxvit_rmlp_pico_rw_256
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- maxvit_rmlp_small_rw_224
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- maxvit_rmlp_small_rw_256
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- maxvit_rmlp_tiny_rw_256
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- maxvit_small_tf_224
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- maxvit_small_tf_384
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- maxvit_small_tf_512
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- maxvit_tiny_pm_256
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- maxvit_tiny_rw_224
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- maxvit_tiny_rw_256
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- maxvit_tiny_tf_224
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- maxvit_tiny_tf_384
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- maxvit_tiny_tf_512
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- maxvit_xlarge_tf_224
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- maxvit_xlarge_tf_384
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- maxvit_xlarge_tf_512
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- maxxvit_rmlp_nano_rw_256
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- maxxvit_rmlp_small_rw_256
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- maxxvit_rmlp_tiny_rw_256
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- maxxvitv2_nano_rw_256
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- maxxvitv2_rmlp_base_rw_224
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- maxxvitv2_rmlp_base_rw_384
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- maxxvitv2_rmlp_large_rw_224
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- mobilevit_s
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- mobilevit_xs
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- mobilevit_xxs
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- mobilevitv2_050
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- mobilevitv2_075
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- mobilevitv2_100
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- mobilevitv2_125
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- mobilevitv2_150
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- mobilevitv2_175
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- mobilevitv2_200
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- mvitv2_base
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- mvitv2_base_cls
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- mvitv2_huge_cls
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- mvitv2_large
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- mvitv2_large_cls
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- mvitv2_small
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- mvitv2_small_cls
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- mvitv2_tiny
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- repvit_m0_9
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- repvit_m1
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- repvit_m1_0
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- repvit_m1_1
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- repvit_m1_5
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- repvit_m2
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- repvit_m2_3
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- repvit_m3
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- samvit_base_patch16
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- samvit_base_patch16_224
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- samvit_huge_patch16
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- samvit_large_patch16
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- tiny_vit_5m_224
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- tiny_vit_11m_224
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- tiny_vit_21m_224
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- tiny_vit_21m_384
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- tiny_vit_21m_512
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- vit_base_patch8_224
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- vit_base_patch14_dinov2
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- vit_base_patch14_reg4_dinov2
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- vit_base_patch16_18x2_224
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- vit_base_patch16_224
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- vit_base_patch16_224_miil
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- vit_base_patch16_384
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- vit_base_patch16_clip_224
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- vit_base_patch16_clip_384
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- vit_base_patch16_clip_quickgelu_224
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- vit_base_patch16_gap_224
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- vit_base_patch16_plus_240
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- vit_base_patch16_reg8_gap_256
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- vit_base_patch16_rpn_224
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- vit_base_patch16_siglip_224
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- vit_base_patch16_siglip_256
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- vit_base_patch16_siglip_384
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- vit_base_patch16_siglip_512
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- vit_base_patch16_xp_224
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- vit_base_patch32_224
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- vit_base_patch32_384
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- vit_base_patch32_clip_224
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- vit_base_patch32_clip_256
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- vit_base_patch32_clip_384
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- vit_base_patch32_clip_448
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- vit_base_patch32_clip_quickgelu_224
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- vit_base_patch32_plus_256
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- vit_base_r26_s32_224
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- vit_base_r50_s16_224
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- vit_base_r50_s16_384
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- vit_base_resnet26d_224
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- vit_base_resnet50d_224
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- vit_giant_patch14_224
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- vit_giant_patch14_clip_224
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- vit_giant_patch14_dinov2
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- vit_giant_patch14_reg4_dinov2
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- vit_giant_patch16_gap_224
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- vit_gigantic_patch14_224
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- vit_gigantic_patch14_clip_224
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- vit_huge_patch14_224
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- vit_huge_patch14_clip_224
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- vit_huge_patch14_clip_336
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- vit_huge_patch14_clip_378
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- vit_huge_patch14_clip_quickgelu_224
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- vit_huge_patch14_clip_quickgelu_378
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- vit_huge_patch14_gap_224
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- vit_huge_patch14_xp_224
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- vit_huge_patch16_gap_448
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- vit_large_patch14_224
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- vit_large_patch14_clip_224
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- vit_large_patch14_clip_336
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- vit_large_patch14_clip_quickgelu_224
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- vit_large_patch14_clip_quickgelu_336
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- vit_large_patch14_dinov2
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- vit_large_patch14_reg4_dinov2
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- vit_large_patch14_xp_224
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- vit_large_patch16_224
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- vit_large_patch16_384
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- vit_large_patch16_siglip_256
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- vit_large_patch16_siglip_384
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- vit_large_patch32_224
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- vit_large_patch32_384
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- vit_large_r50_s32_224
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- vit_large_r50_s32_384
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- vit_medium_patch16_gap_240
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- vit_medium_patch16_gap_256
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- vit_medium_patch16_gap_384
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- vit_medium_patch16_reg4_256
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- vit_medium_patch16_reg4_gap_256
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- vit_relpos_base_patch16_224
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- vit_relpos_base_patch16_cls_224
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- vit_relpos_base_patch16_clsgap_224
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- vit_relpos_base_patch16_plus_240
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- vit_relpos_base_patch16_rpn_224
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- vit_relpos_base_patch32_plus_rpn_256
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- vit_relpos_medium_patch16_224
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- vit_relpos_medium_patch16_cls_224
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- vit_relpos_medium_patch16_rpn_224
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- vit_relpos_small_patch16_224
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- vit_relpos_small_patch16_rpn_224
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- vit_small_patch8_224
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- vit_small_patch14_dinov2
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- vit_small_patch14_reg4_dinov2
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- vit_small_patch16_18x2_224
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- vit_small_patch16_36x1_224
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- vit_small_patch16_224
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- vit_small_patch16_384
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- vit_small_patch32_224
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- vit_small_patch32_384
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- vit_small_r26_s32_224
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- vit_small_r26_s32_384
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- vit_small_resnet26d_224
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- vit_small_resnet50d_s16_224
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- vit_so400m_patch14_siglip_224
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- vit_so400m_patch14_siglip_384
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- vit_srelpos_medium_patch16_224
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- vit_srelpos_small_patch16_224
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- vit_tiny_patch16_224
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- vit_tiny_patch16_384
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- vit_tiny_r_s16_p8_224
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- vit_tiny_r_s16_p8_384

‎configs/classification/best/levit_256.yml‎

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architecture: "timm::levit_256"
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pretrained: True
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format: "pascal_voc"
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epochs: 100
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lr: 0.0005
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min_lr: 0.000005
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n_cls: -1
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wandb: True
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img_size: 224
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mosaic: False
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task: classification
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augmentations: True
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whitening: False

‎configs/classification/best/levit_conv_256.yml‎

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architecture: "timm::levit_conv_256"
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pretrained: True
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format: "pascal_voc"
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epochs: 100
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lr: 0.0005
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min_lr: 0.000005
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n_cls: -1
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wandb: True
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img_size: 224
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mosaic: False
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task: classification
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augmentations: True
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whitening: False

‎configs/classification/best/tf_efficientnetv2_b1.yml‎

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architecture: "timm::tf_efficientnetv2_b1"
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pretrained: True
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format: "pascal_voc"
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epochs: 100
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lr: 0.0005
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min_lr: 0.000005
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n_cls: -1
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wandb: True
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img_size: 256
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mosaic: False
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task: classification
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augmentations: True
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whitening: False

‎configs/classification/experiment.yml‎

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architecture: "timm::tf_efficientnetv2_b1"
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pretrained: True
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format: "pascal_voc"
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epochs: 100
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lr: 0.0005
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min_lr: 0.000005
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n_cls: -1
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wandb: True
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img_size: 128
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mosaic: False
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task: classification
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augmentations: True
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whitening: False

‎configs/detection/experiment.yml‎

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architecture: "custom::resnetfpn"
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epochs: 500
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lr: 0.0001
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min_lr: 0.000001
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n_cls: 2
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wandb: False
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img_size: 256
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mosaic: False
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augmentations: False

‎configs/detection/fast-rcnn/test_small.yml‎

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architecture: "resnetfpn"
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architecture: "custom::resnetfpn"
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epochs: 500
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lr: 0.0001
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n_cls: 5

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