Given the following 3 research papers, the authors have shown different heatmap graphical representations for features of the trained CNN models:

  1. On the performance of Convnet feature for place recognition: link heatmap_1

  2. NetVLAD: CNN architecture for weakly supervised place recognition: link heatmap_2

  3. Deep Learning Features at Scale for Visual Place Recognition: link heatmap_3

Does anyone know the easiest heatmap implementation in Python given deploy.protxt and model_wights_bias.caffemodel files?

PS: I am aware of the following answers and packages: answer1, package1 but they do not provide these solutions shown in figures above!



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