AlexeyAB / darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
http://pjreddie.com/darknet/
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Activation Layer Visualizations for yolov3-tiny #6369

Open ninenerd opened 4 years ago

ninenerd commented 4 years ago

Hi, I am looking to visualize the activations layers for a given image for tiny yolov3.

Example : https://medium.com/google-developer-experts/interpreting-deep-learning-models-for-computer-vision-f95683e23c1d

Toward the end, they have done for another model,

load dependencies

import numpy as np import tensorflow as tf import matplotlib.pyplot as plt from tf_explain.core.activations import ExtractActivations from tensorflow.keras.applications.xception import decode_predictions

%matplotlib inline

load Xception pre-trained CNN model

model = tf.keras.applications.xception.Xception(weights='imagenet', include_top=True) I want to do it for tiny-yolov3, to understand key features for an image detection. Has anyone done this ?

SaraPiresNobrega commented 3 years ago

Hello ! Did you solve this question ?