i was trying to use DLA34 with centernet using this repo : https://github.com/xingyizhou/CenterNet/blob/master/src/lib/models/networks/pose_dla_dcn.py
i can load efficientnet features with centernet like this :
from efficientnet_pytorch import EfficientNet
base_model = EfficientNet.from_pretrained('efficientnet-b1')
x_center = x[:, :, :, IMG_WIDTH // 8: -IMG_WIDTH // 8]
feats = base_model.extract_features(x_center)
but in Deep Layer Aggregation(DLA34) extract_features() function is not available,i am new to object detection,how can i extract_features from dla34 and other networks like densenet with centernet?
Syed Mobassir Hossen hope this is of any use
https://arxiv.org/pdf/1707.06484.pdf
i was able to solve it later like this : https://stackoverflow.com/questions/59419803/how-to-extract-features-of-dla34-for-centernet/61184850#61184850
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