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Delete yolov8_flejes

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  1. yolov8_flejes/runs/detect/train/args.yaml +0 -98
  2. yolov8_flejes/runs/detect/train/events.out.tfevents.1705258137.fa3156f5660d.2076.0 +0 -3
  3. yolov8_flejes/runs/detect/train/labels.jpg +0 -0
  4. yolov8_flejes/runs/detect/train/labels_correlogram.jpg +0 -0
  5. yolov8_flejes/runs/detect/train/model_artifacts.json +0 -1
  6. yolov8_flejes/runs/detect/train/results.csv +0 -104
  7. yolov8_flejes/runs/detect/train/roboflow_deploy.zip +0 -3
  8. yolov8_flejes/runs/detect/train/state_dict.pt +0 -3
  9. yolov8_flejes/runs/detect/train/train_batch0.jpg +0 -0
  10. yolov8_flejes/runs/detect/train/train_batch1.jpg +0 -0
  11. yolov8_flejes/runs/detect/train/train_batch2.jpg +0 -0
  12. yolov8_flejes/runs/detect/train/weights/best.pt +0 -3
  13. yolov8_flejes/runs/detect/train/weights/last.pt +0 -3
yolov8_flejes/runs/detect/train/args.yaml DELETED
@@ -1,98 +0,0 @@
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- task: detect
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- mode: train
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- model: yolov8s.pt
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- data: /content/datasets/flejes-8/data.yaml
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- epochs: 300
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- patience: 50
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- batch: 8
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- imgsz: 1280
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- save: true
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- save_period: -1
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- cache: false
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- device: null
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- workers: 8
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- project: null
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- name: null
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- exist_ok: false
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- pretrained: true
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- optimizer: auto
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- verbose: true
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- seed: 0
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- deterministic: true
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- single_cls: false
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- rect: false
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- cos_lr: false
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- amp: true
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- profile: false
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- freeze: null
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- overlap_mask: true
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- mask_ratio: 4
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- dropout: 0.0
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- val: true
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- split: val
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- save_json: false
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- save_hybrid: false
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- conf: null
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- iou: 0.7
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- max_det: 300
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- half: false
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- dnn: false
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- plots: true
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- source: null
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- show: false
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- save_txt: false
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- save_conf: false
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- save_crop: false
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- show_labels: true
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- show_conf: true
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- vid_stride: 1
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- stream_buffer: false
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- line_width: null
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- visualize: false
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- augment: false
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- agnostic_nms: false
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- classes: null
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- retina_masks: false
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- boxes: true
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- format: torchscript
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- keras: false
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- optimize: false
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- int8: false
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- dynamic: false
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- simplify: false
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- opset: null
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- workspace: 4
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- nms: false
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- lr0: 0.01
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- lrf: 0.01
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- momentum: 0.937
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- weight_decay: 0.0005
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- warmup_epochs: 3.0
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- warmup_momentum: 0.8
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- warmup_bias_lr: 0.1
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- box: 7.5
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- cls: 0.5
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- dfl: 1.5
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- pose: 12.0
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- kobj: 1.0
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- label_smoothing: 0.0
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- nbs: 64
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- hsv_h: 0.015
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- hsv_s: 0.7
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- hsv_v: 0.4
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- degrees: 0.0
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- translate: 0.1
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- scale: 0.5
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- shear: 0.0
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- perspective: 0.0
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- flipud: 0.0
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- fliplr: 0.5
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- mosaic: 1.0
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- mixup: 0.0
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- copy_paste: 0.0
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- cfg: null
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- tracker: botsort.yaml
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- save_dir: runs/detect/train
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
yolov8_flejes/runs/detect/train/events.out.tfevents.1705258137.fa3156f5660d.2076.0 DELETED
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yolov8_flejes/runs/detect/train/labels.jpg DELETED
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yolov8_flejes/runs/detect/train/labels_correlogram.jpg DELETED
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yolov8_flejes/runs/detect/train/model_artifacts.json DELETED
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- {"names": ["normal_price", "offert_precio_acuenta_all_picture", "offert_price_acuenta_red", "offert_price_acuenta_white", "offert_price_cugat_white", "offert_price_cugat_yellowhite", "offert_price_cugat_yellowhite_double", "offert_price_eltrebol_all_picture", "offert_price_eltrebol_white", "offert_price_eltrebol_yellow", "offert_price_ganga_small_white", "offert_price_ganga_white", "offert_price_hyperpat_veggies", "offert_price_hyperpat_white", "offert_price_jumbo_all_picture", "offert_price_jumbo_card", "offert_price_jumbo_mechanical_id", "offert_price_jumbo_puntos", "offert_price_jumbo_yellowhite", "offert_price_lider_all_picture", "offert_price_lider_small_red", "offert_price_lider_white", "offert_price_lider_yellow", "offert_price_sisa_all_picture", "offert_price_sisa_card", "offert_price_sisa_mechanic_id", "offert_price_sisa_points", "offert_price_sisa_veggies", "offert_price_sisa_yellowhite", "offert_price_super9_white", "offert_price_tottus_card", "offert_price_tottus_cmr_puntos", "offert_price_tottus_mechanical_id", "offert_price_tottus_small_white", "offert_price_tottus_white", "offert_price_tottus_yellow", "offert_price_tottus_yellow_double"], "yaml": {"nc": 37, "depth_multiple": 0.33, "width_multiple": 0.5, "backbone": [[-1, 1, "Conv", [64, 3, 2]], [-1, 1, "Conv", [128, 3, 2]], [-1, 3, "C2f", [128, true]], [-1, 1, "Conv", [256, 3, 2]], [-1, 6, "C2f", [256, true]], [-1, 1, "Conv", [512, 3, 2]], [-1, 6, "C2f", [512, true]], [-1, 1, "Conv", [1024, 3, 2]], [-1, 3, "C2f", [1024, true]], [-1, 1, "SPPF", [1024, 5]]], "head": [[-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 6], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 4], 1, "Concat", [1]], [-1, 3, "C2f", [256]], [-1, 1, "Conv", [256, 3, 2]], [[-1, 12], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "Conv", [512, 3, 2]], [[-1, 9], 1, "Concat", [1]], [-1, 3, "C2f", [1024]], [[15, 18, 21], 1, "Detect", ["nc"]]], "ch": 3}, "nc": 37, "args": {"model": "yolov8s.pt", "batch": 8, "imgsz": 1280}, "ultralytics_version": "8.0.196", "model_type": "yolov8"}
 
 
yolov8_flejes/runs/detect/train/results.csv DELETED
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- epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
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- 70, 1.3096, 0.52505, 1.0807, 0.76058, 0.8158, 0.8287, 0.56804, 1.5524, 0.53639, 1.2353, 0.007756, 0.007756, 0.007756
72
- 71, 1.3097, 0.51631, 1.0799, 0.79382, 0.76626, 0.80505, 0.54189, 1.5489, 0.54044, 1.2345, 0.007723, 0.007723, 0.007723
73
- 72, 1.2995, 0.51402, 1.0756, 0.82261, 0.77657, 0.79697, 0.54116, 1.5432, 0.53579, 1.2364, 0.00769, 0.00769, 0.00769
74
- 73, 1.2827, 0.51369, 1.0697, 0.80865, 0.80701, 0.80991, 0.5595, 1.5452, 0.53553, 1.2355, 0.007657, 0.007657, 0.007657
75
- 74, 1.2925, 0.51757, 1.0718, 0.84252, 0.77013, 0.79566, 0.55267, 1.5576, 0.53877, 1.2416, 0.007624, 0.007624, 0.007624
76
- 75, 1.2916, 0.51438, 1.0691, 0.76548, 0.80264, 0.82362, 0.56805, 1.5406, 0.53346, 1.2325, 0.007591, 0.007591, 0.007591
77
- 76, 1.276, 0.50572, 1.0609, 0.7699, 0.81375, 0.82343, 0.56282, 1.5565, 0.53406, 1.2405, 0.007558, 0.007558, 0.007558
78
- 77, 1.2929, 0.51266, 1.0768, 0.77672, 0.81496, 0.81717, 0.55296, 1.5452, 0.53081, 1.2341, 0.007525, 0.007525, 0.007525
79
- 78, 1.2738, 0.50158, 1.0659, 0.76675, 0.82353, 0.83859, 0.56757, 1.5457, 0.52836, 1.2377, 0.007492, 0.007492, 0.007492
80
- 79, 1.2669, 0.50448, 1.0575, 0.76927, 0.80708, 0.80544, 0.55444, 1.5512, 0.53018, 1.2412, 0.007459, 0.007459, 0.007459
81
- 80, 1.2692, 0.50611, 1.0643, 0.83903, 0.7615, 0.82701, 0.56317, 1.5384, 0.52886, 1.2375, 0.007426, 0.007426, 0.007426
82
- 81, 1.2797, 0.50803, 1.0662, 0.8424, 0.77926, 0.82445, 0.55614, 1.5418, 0.53129, 1.2403, 0.007393, 0.007393, 0.007393
83
- 82, 1.2453, 0.49689, 1.0543, 0.82229, 0.76048, 0.81588, 0.56299, 1.5338, 0.52919, 1.2372, 0.00736, 0.00736, 0.00736
84
- 83, 1.2606, 0.50061, 1.0674, 0.84088, 0.79497, 0.83011, 0.56617, 1.5533, 0.53406, 1.2478, 0.007327, 0.007327, 0.007327
85
- 84, 1.2488, 0.4972, 1.0492, 0.8216, 0.79962, 0.84546, 0.58174, 1.5533, 0.53249, 1.2408, 0.007294, 0.007294, 0.007294
86
- 85, 1.2548, 0.49626, 1.0592, 0.78923, 0.80405, 0.82185, 0.56991, 1.5624, 0.53207, 1.2498, 0.007261, 0.007261, 0.007261
87
- 86, 1.2459, 0.4923, 1.0514, 0.86603, 0.73052, 0.78532, 0.53676, 1.557, 0.52844, 1.2447, 0.007228, 0.007228, 0.007228
88
- 87, 1.2485, 0.4937, 1.0575, 0.81346, 0.7919, 0.80384, 0.54765, 1.5447, 0.52706, 1.2492, 0.007195, 0.007195, 0.007195
89
- 88, 1.2459, 0.49098, 1.0556, 0.81753, 0.7839, 0.80894, 0.55931, 1.5545, 0.5252, 1.2452, 0.007162, 0.007162, 0.007162
90
- 89, 1.2463, 0.49165, 1.059, 0.80302, 0.80464, 0.83849, 0.56521, 1.5546, 0.52524, 1.2477, 0.007129, 0.007129, 0.007129
91
- 90, 1.2387, 0.49238, 1.0526, 0.81634, 0.78458, 0.81557, 0.56933, 1.5722, 0.5301, 1.25, 0.007096, 0.007096, 0.007096
92
- 91, 1.2387, 0.48775, 1.0556, 0.77155, 0.79966, 0.81338, 0.56628, 1.5539, 0.5283, 1.2525, 0.007063, 0.007063, 0.007063
93
- 92, 1.2303, 0.48525, 1.0471, 0.81123, 0.80445, 0.83228, 0.57419, 1.5575, 0.5269, 1.2488, 0.00703, 0.00703, 0.00703
94
- 93, 1.2244, 0.48374, 1.0488, 0.77448, 0.78672, 0.81959, 0.55204, 1.5582, 0.53103, 1.2515, 0.006997, 0.006997, 0.006997
95
- 94, 1.224, 0.48426, 1.0458, 0.79256, 0.79048, 0.80324, 0.54484, 1.5593, 0.53046, 1.2503, 0.006964, 0.006964, 0.006964
96
- 95, 1.2281, 0.48659, 1.0441, 0.81668, 0.73198, 0.80421, 0.54686, 1.5627, 0.52729, 1.2538, 0.006931, 0.006931, 0.006931
97
- 96, 1.2154, 0.47962, 1.0426, 0.72291, 0.84042, 0.80691, 0.55651, 1.5564, 0.53018, 1.2555, 0.006898, 0.006898, 0.006898
98
- 97, 1.2005, 0.47485, 1.0357, 0.86286, 0.77634, 0.81656, 0.55958, 1.5661, 0.52798, 1.2541, 0.006865, 0.006865, 0.006865
99
- 98, 1.2115, 0.47383, 1.0434, 0.83013, 0.75313, 0.80162, 0.54958, 1.5556, 0.5253, 1.2582, 0.006832, 0.006832, 0.006832
100
- 99, 1.206, 0.47705, 1.0394, 0.74349, 0.80693, 0.81549, 0.55247, 1.5712, 0.52922, 1.2545, 0.006799, 0.006799, 0.006799
101
- 100, 1.2168, 0.48136, 1.0412, 0.78635, 0.81597, 0.82086, 0.56228, 1.5651, 0.52543, 1.2543, 0.006766, 0.006766, 0.006766
102
- 101, 1.199, 0.47558, 1.0372, 0.75159, 0.78882, 0.79516, 0.54226, 1.5653, 0.52917, 1.2544, 0.006733, 0.006733, 0.006733
103
- 102, 1.1995, 0.47487, 1.0383, 0.77433, 0.82677, 0.8259, 0.55879, 1.5768, 0.53128, 1.264, 0.0067, 0.0067, 0.0067
104
- 103, 1.1998, 0.47501, 1.0393, 0.81653, 0.79812, 0.81027, 0.5481, 1.5791, 0.53525, 1.261, 0.006667, 0.006667, 0.006667
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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