Instructions to use cpraschl/bambi-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cpraschl/bambi-models with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("cpraschl/bambi-models") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload thermal_merged/results.csv with huggingface_hub
Browse files- thermal_merged/results.csv +23 -0
thermal_merged/results.csv
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| 1 |
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epoch,time,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,lr/pg3,lr/pg4,lr/pg5,lr/pg6,lr/pg7
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| 2 |
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1,1614.81,1.73115,2.91384,0.00369,0.43323,0.42826,0.35728,0.19258,1.89545,2.65234,0.00417,0.00999776,0.00333259,0.00999776,0.00333259,0.00999776,0.00333259,0.00999776,0.00333259
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| 3 |
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2,2899.55,1.48717,2.00648,0.00305,0.46889,0.42826,0.38973,0.25029,1.74864,2.42769,0.00387,0.0198988,0.00663292,0.0198988,0.00663292,0.0198988,0.00663292,0.0198988,0.00663292
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| 4 |
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3,4062.94,1.5168,2.07322,0.00309,0.4887,0.29348,0.32243,0.19569,1.74056,2.57673,0.00383,0.0297008,0.00990026,0.0297008,0.00990026,0.0297008,0.00990026,0.0297008,0.00990026
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| 5 |
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4,5248.95,1.52254,2.04373,0.00308,0.44588,0.35,0.32894,0.19251,1.78497,2.62544,0.00397,0.0295545,0.0098515,0.0295545,0.0098515,0.0295545,0.0098515,0.0295545,0.0098515
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| 6 |
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5,6452.54,1.45227,1.97331,0.00296,0.45934,0.26226,0.25822,0.16684,1.78951,2.97787,0.00393,0.029406,0.009802,0.029406,0.009802,0.029406,0.009802,0.029406,0.009802
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| 7 |
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6,7671.35,1.40841,1.88389,0.00285,0.43875,0.31957,0.32035,0.19964,1.81511,2.605,0.00394,0.0292575,0.0097525,0.0292575,0.0097525,0.0292575,0.0097525,0.0292575,0.0097525
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| 8 |
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7,8890.36,1.38168,1.84894,0.00278,0.41019,0.33478,0.30815,0.1938,1.81542,2.62631,0.00401,0.029109,0.009703,0.029109,0.009703,0.029109,0.009703,0.029109,0.009703
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| 9 |
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8,10109.9,1.34409,1.80537,0.0027,0.39293,0.35599,0.29659,0.19379,1.92374,2.72265,0.00419,0.0289605,0.0096535,0.0289605,0.0096535,0.0289605,0.0096535,0.0289605,0.0096535
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| 10 |
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9,11324.6,1.32527,1.74501,0.00265,0.47807,0.41304,0.35728,0.22695,1.74429,2.51225,0.00382,0.028812,0.009604,0.028812,0.009604,0.028812,0.009604,0.028812,0.009604
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| 11 |
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10,12538.2,1.31319,1.71112,0.00262,0.337,0.25,0.21424,0.13757,1.85744,2.87321,0.0041,0.0286635,0.0095545,0.0286635,0.0095545,0.0286635,0.0095545,0.0286635,0.0095545
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| 12 |
+
11,13750,1.30755,1.69451,0.00263,0.40858,0.3,0.29963,0.19113,1.79817,2.56611,0.00402,0.028515,0.009505,0.028515,0.009505,0.028515,0.009505,0.028515,0.009505
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| 13 |
+
12,14965.2,1.2816,1.65154,0.00256,0.43035,0.31957,0.28783,0.18606,1.76892,2.72158,0.00396,0.0283665,0.0094555,0.0283665,0.0094555,0.0283665,0.0094555,0.0283665,0.0094555
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| 14 |
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13,16179,1.27924,1.64712,0.00256,0.48329,0.36304,0.33854,0.21773,1.74486,2.44955,0.00384,0.028218,0.009406,0.028218,0.009406,0.028218,0.009406,0.028218,0.009406
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| 15 |
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14,17393.2,1.26447,1.60978,0.00254,0.46132,0.35558,0.33691,0.22129,1.77242,2.44475,0.0039,0.0280695,0.0093565,0.0280695,0.0093565,0.0280695,0.0093565,0.0280695,0.0093565
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| 16 |
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15,18601.2,1.25417,1.58958,0.0025,0.28367,0.12826,0.15144,0.11147,1.82334,3.54244,0.00398,0.027921,0.009307,0.027921,0.009307,0.027921,0.009307,0.027921,0.009307
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| 17 |
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16,19814.6,1.23636,1.56852,0.00246,0.42614,0.26314,0.28255,0.18097,1.76745,3.06363,0.00392,0.0277725,0.0092575,0.0277725,0.0092575,0.0277725,0.0092575,0.0277725,0.0092575
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| 18 |
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17,21029.5,1.23691,1.54943,0.00245,0.43304,0.35,0.28976,0.17972,1.78165,2.53252,0.00394,0.027624,0.009208,0.027624,0.009208,0.027624,0.009208,0.027624,0.009208
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| 19 |
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18,22226.7,1.2252,1.53402,0.00243,0.34636,0.26955,0.24078,0.16173,1.76757,2.97089,0.00395,0.0274755,0.0091585,0.0274755,0.0091585,0.0274755,0.0091585,0.0274755,0.0091585
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| 20 |
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19,23385.1,1.20702,1.50804,0.00239,0.22021,0.2032,0.17025,0.11283,1.77259,3.41624,0.00392,0.027327,0.009109,0.027327,0.009109,0.027327,0.009109,0.027327,0.009109
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| 21 |
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20,24544.4,1.20696,1.4982,0.00239,0.43799,0.28261,0.26467,0.16792,1.84519,3.11053,0.00421,0.0271785,0.0090595,0.0271785,0.0090595,0.0271785,0.0090595,0.0271785,0.0090595
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| 22 |
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21,25704.4,1.20145,1.47981,0.00239,0.32258,0.2381,0.2217,0.14054,1.7681,3.09784,0.00391,0.02703,0.00901,0.02703,0.00901,0.02703,0.00901,0.02703,0.00901
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| 23 |
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22,26862.6,1.18976,1.45134,0.00235,0.42184,0.2913,0.26976,0.16468,1.74156,2.93958,0.00389,0.0268815,0.0089605,0.0268815,0.0089605,0.0268815,0.0089605,0.0268815,0.0089605
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