Siglip to 384

hf_zeroshot.py

@@ -45,7 +45,7 @@ DESCRIPTIVE_CLASS_NAMES = [
 # Models to test
 MODELS = [
     "openai/clip-vit-large-patch14",
-    "google/siglip2-so400m-patch16-naflex",
+    "google/siglip2-large-patch16-384",
     "imageomics/bioclip",
     "imageomics/bioclip-2",
     "facebook/PE-Core-L14-336",
@@ -370,4 +370,4 @@ def main():
 if __name__ == "__main__":
     # Change to demo directory
     os.chdir(os.path.dirname(os.path.abspath(__file__)))
-    main()
+    main()

iwildcam_demo.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9694a07e3b8b303665389f86716b6ea26aa97032a7865f4d834d4ae5ddfd1201
+oid sha256:bd0c2fb16ff3652c21ee75a3f854bef7868b7c438f2ddd73faf91fd35daea6d7
 size 127187

models.txt

@@ -1,5 +1,5 @@
 facebook/PE-Core-L14-336
-google/siglip2-large-patch16-512
+google/siglip2-large-patch16-384
 openai/clip-vit-large-patch14
 imageomics/bioclip-2
 laion/CLIP-ViT-L-14-laion2B-s32B-b82K

process_iwildcam_data.py

@@ -53,7 +53,7 @@ def create_tensors():
     # Load model predictions
     model_files = [
 	'zeroshot_results_facebook_PE_Core_L14_336.json',
-        'zeroshot_results_google_siglip2_large_patch16_512.json',
+        'zeroshot_results_google_siglip2_large_patch16_384.json',
 	'zeroshot_results_openai_clip_vit_large_patch14.json',
         'zeroshot_results_imageomics_bioclip_2.json',
 	'zeroshot_results_laion_CLIP_ViT_L_14_laion2B_s32B_b82K.json',