"loss", "loss_box_reg", "loss_classifier", "loss_objectness", "loss_rpn_box_reg" ] ), meters.get_metric(metric_names=["time", "data"]), ], iteration, ) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 还需要给meters添加get_metric方法,这个比较简单,...
#一般流程: loss_fn=CrossEntropyLoss() #定义损失函数 optimizer=torch.optim.Adam(model.classifier.parameters(),lr=0.001) #定义优化器(调整参数)和设定学习率 model.train() for i,(img_tensor,label) in enumerate(tqdm(train_loader,desc=f'第{epoch+1}轮训练开始')): img_tensor=img_tensor.to(devi...
{'loss_classifier': tensor(nan, device='cuda:0', grad_fn=<NllLossBackward>), 'loss_box_reg': tensor(nan, device='cuda:0', grad_fn=<DivBackward0>), 'loss_objectness': tensor(nan, device='cuda:0', grad_fn=<BinaryCrossEntropyWithLogitsBackward>), 'loss_rpn_box_reg': tensor(inf,...
# 需要导入模块: from maskrcnn_benchmark import layers [as 别名]# 或者: from maskrcnn_benchmark.layers importsmooth_l1_loss[as 别名]def__call__(self, anchors, box_cls, box_regression, targets):""" Arguments: anchors (list[BoxList]) box_cls (list[Tensor]) box_regression (list[Tensor...
Caused by op u'Loss/BoxClassifierLoss/Loss/sub', defined at: File "object_detection/train.py", line 198, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys...
2. Related Work Classic Object Detectors: The sliding-window paradigm, in which a classifier is applied on a dense image grid, has a long and rich history. One of the earliest successes is the classic work of LeCun et al. who applied convolutional neu- ral networks to handwritten digit ...
IVsProjectCfgProvider IVsProjectClassifierInfo IVsProjectDataConnection IVsProjectDebugTargetProvider IVsProjectDeployDependency IVsProjectFactory IVsProjectFactory2 IVsProjectFaultResolver IVsProjectFileReloadManagerEvents IVsProjectFlavorCfg IVsProjectFlavorCfgOutputGroups IVsProjectFlavorCfgProvider ...
[38] used the weights of the softmax classifier to calculate a weighted av- erage age for age estimation, which was found to have bet- ter performance than using softmax for age classification. Han et al. [16, 43] proposed an effective deep multi-task learning approach for joint ...
By using off-line training, the tracking algorithm [17,18,19] based on convolutional neural networks (CNN) can learn the common feature model which represents the robustness of the object, and dynamically update the coefficient of the classifier through online learning to improve the tracking perfo...
from ..base import is_classifier, is_regressor from ..base import BaseEstimator from ..base import MetaEstimatorMixin from ..tree import DecisionTreeRegressor, ExtraTreeRegressor from ..utils import Bunch, _print_elapsed_time from ..utils import check_random_state from ..utils.metaestimators impor...