Remove stale gradcam/ (pre-v2 weights, will be regenerated)

gradcam/README.md

@@ -1,20 +0,0 @@
-# Grad-CAM Saliency Maps
-
-Per-class Grad-CAM visualisations for the 6 CNN-class models. For each model the figure
-shows the 10 disease classes (rows) with the original fundus image (left) and the
-Grad-CAM heatmap overlay (right).
-
-## Generation
-- Library: `pytorch-grad-cam`
-- Target layer: last convolutional block of each backbone
-- CLIP uses input-gradient saliency (no convolutional layer at the same semantic level)
-- Foundation transformer models (DINOv2-L, RETFound, Swin-B) require a different attention
-  rollout / hookable layer and are not included in this v1 Grad-CAM batch.
-
-## Files
-- `gradcam_vgg19.png`
-- `gradcam_resnet50.png`
-- `gradcam_resnet101.png`
-- `gradcam_densenet121.png`
-- `gradcam_inception_v3.png`
-- `gradcam_clip_openai.png`