I’m trying to retrain peoplenet models (tlt_peoplenet_unpruned_v2.0) using my own images.
Training is fine with final accuracy
Validation cost: 0.000122
Mean average_precision (in %): 99.9602
class name average precision (in %)
------------ --------------------------
person 99.9602
Trained 15 epochs and I have 34000 images in training set.
The following train config file was used. detectnet_v2_train_resnet34_kitti.txt (3.1 KB)
Training command is
tlt-train detectnet_v2 -e /workspace/tlt-experiments/ObjectDetectionData/pedestrians/detectnet_v2_train_resnet34_kitti.txt -r /workspace/tlt-experiments/ObjectDetectionData/pedestrians/hor_0-50_ver_0-75_overlapping/trained_models_34resnet -k tlt_encode -n peoplenet_resnet34
Final training accuracy is good. But testing accuracy is almost no detection. Is it overfitting issue?