Playing Cards 2.2

DVC Report

params.yaml

task	dataset	weights	shape	epochs	batch-size	optimizer.method	optimizer.learning-rate	optimizer.strategy.name	optimizer.strategy.parameters.decay	optimizer.strategy.parameters.warmup-learning-rate	optimizer.strategy.parameters.warmup-epochs	metric	logs	checkpoints	validation.iou	validation.score	loss_weights.w_obj	loss_weights.w_cls	loss_weights.w_loc	display	augmentation.Flip	augmentation.RandomBrightnessContrast	augmentation.ToGray	augmentation.ChannelShuffle	augmentation.RandomFog	augmentation.ShiftScaleRotate	augmentation.Mosaic	encoding_iou	objects-size	use_fake_background	use_power_decoder	focus	skip-validation	skip-initial-validation	freeze-bn	weight-decay	freeze-backbone	anchors	compute-anchors	save-anchors	upsample	NCHW	version	strides
detection	dataset.yaml	coco	[240, 320, 3]	100	100	adam	0.01	warmup	0	0.0001	5	acc	out	out	0.5	0.45	1	1	1	0	0.5	0.2	0.2	0.01	0.01	0.3	0.3	0.3	large	True	True	False	1	False	False	1e-05	False	[[[48.0, 61.0], [67.0, 90.0], [74.0, 48.0]], [[98.0, 121.0], [113.0, 74.0], [130.0, 172.0]]]	True		resize	False	2.2.6	[16, 30]

metrics.json

mACC 0.50	mACC 0.75	mACC 0.50-0.95	mAP 0.50	mAP 0.75	mAP 0.50-0.95	mAR 0.50	mAR 0.75	mAR 0.50-0.95	Overall ACC	Overall AP	Overall AR	Learning Rate	step
80.87	73.18	59.82	93.35	88.14	72.6	85.9	81.08	66.82	82.08	93.3	85.71	0.0001	99