(name=name + '_exc_offset')) scale = fluid.layers.elementwise_mul(x=input, y=excitation,axis=0) return scale def init_log_config(): """ 初始化日志相关配置 :return: """ global logger logger = logging.getLogger() logger.setLevel(logging.INFO) log_path = os.path.join(os.getcwd(),...
训练的时候拉近同一对象的角点的距离,拉开不同对象角点的距离 Offsets 这里直接回归在heatmap上预测出一个corner后,映射回image时坐标精度的损失 centernet 由于采用全卷积网络直接得到4倍下采样的热力图,所以不需要提前设定anchors, 所以大大减少了网络参数量和计算量。热力图的通道数等于要检测的目标类别数,热力图的...
make_and_apply_gradcam_heatmap is for Grad-CAM class activation visualization. from keras_cv_attention_models import visualizing, test_images, resnest mm = resnest.ResNest50() img = test_images.dog() superimposed_img, heatmap, preds = visualizing.make_and_apply_gradcam_heatmap(mm, img, l...