Cleaned up a few more images and plot labels

app.py

@@ -56,8 +56,8 @@ MODEL_INFO = [
     {"org": "Facebook", "name": "PE-Core", "logo": "logos/meta.png"},
     {"org": "Google", "name": "SigLIP2", "logo": "logos/google.png"},
     {"org": "OpenAI", "name": "CLIPViT-L", "logo": "logos/openai.png"},
-    {"org": "Imageomics", "name": "BioCLIP", "logo": "logos/imageomics.png"},
-    {"org": "LAION", "name": "CLIP-L", "logo": "logos/laion.png"}
+    {"org": "Imageomics", "name": "BioCLIP2", "logo": "logos/imageomics.png"},
+    {"org": "LAION", "name": "LAION CLIP", "logo": "logos/laion.png"}
 ]
 
 DEMO_LEARNING_RATE = 0.05 # don't use default; use something more fun
@@ -203,7 +203,7 @@ def add_logo_to_x_axis(ax, x_pos, logo_path, model_name, height_px=35):
         img = mpimg.imread(logo_path)
         # Calculate zoom to achieve desired height in pixels
         # Rough conversion: height_px / image_height / dpi * 72
-        zoom = height_px / img.shape[0] / ax.figure.dpi * 72
+        zoom = height_px / min(img.shape[0],img.shape[1]) / ax.figure.dpi * 72
         imagebox = OffsetImage(img, zoom=zoom)
 
         # Position logo to the left of the x-tick
@@ -335,7 +335,7 @@ def create_probability_chart():
     else:
         probs_tensor = coda_selector.get_pbest()
         probabilities = probs_tensor.detach().cpu().numpy().flatten()
-        model_labels = [" "*(3 + len(info['name'])//4) + info['name'] for info in MODEL_INFO[:len(probabilities)]]
+        model_labels = [" "*(9 if info['name']=='LAION CLIP' else 4 if info['name']=='SigLIP2' else 6) + info['name'] for info in MODEL_INFO[:len(probabilities)]]
 
     # Find the index of the highest probability
     best_idx = np.argmax(probabilities)

images.txt

@@ -184,11 +184,6 @@
 943a1a20-21bc-11ea-a13a-137349068a90.jpg
 8ba23eec-21bc-11ea-a13a-137349068a90.jpg
 98536d82-21bc-11ea-a13a-137349068a90.jpg
-8f4dd7f4-21bc-11ea-a13a-137349068a90.jpg
-8f88c6e8-21bc-11ea-a13a-137349068a90.jpg
-8aaabb04-21bc-11ea-a13a-137349068a90.jpg
-8f337b16-21bc-11ea-a13a-137349068a90.jpg
-8f20690e-21bc-11ea-a13a-137349068a90.jpg
 8bf1327c-21bc-11ea-a13a-137349068a90.jpg
 8c7ef620-21bc-11ea-a13a-137349068a90.jpg
 92b99fb8-21bc-11ea-a13a-137349068a90.jpg
@@ -1029,7 +1024,6 @@
 949d098c-21bc-11ea-a13a-137349068a90.jpg
 8fd985d8-21bc-11ea-a13a-137349068a90.jpg
 91785bee-21bc-11ea-a13a-137349068a90.jpg
-88e4a06e-21bc-11ea-a13a-137349068a90.jpg
 8c0f47a8-21bc-11ea-a13a-137349068a90.jpg
 929f0432-21bc-11ea-a13a-137349068a90.jpg
 936d1ef8-21bc-11ea-a13a-137349068a90.jpg
@@ -1167,7 +1161,6 @@
 8a581728-21bc-11ea-a13a-137349068a90.jpg
 93589a82-21bc-11ea-a13a-137349068a90.jpg
 9460bfcc-21bc-11ea-a13a-137349068a90.jpg
-94de280e-21bc-11ea-a13a-137349068a90.jpg
 8697e94c-21bc-11ea-a13a-137349068a90.jpg
 937a22f6-21bc-11ea-a13a-137349068a90.jpg
 88612ad6-21bc-11ea-a13a-137349068a90.jpg

iwildcam_demo.pt

@@ -1,3 +1,3 @@
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+size 127187

iwildcam_demo_annotations.json

@@ -2122,61 +2122,6 @@
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@@ -11738,17 +11683,6 @@
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@@ -13328,18 +13262,6 @@
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@@ -17791,36 +17713,6 @@
       "image_id": "98536d82-21bc-11ea-a13a-137349068a90",
       "category_id": 101
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@@ -19171,11 +19063,6 @@
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iwildcam_demo_labels.pt

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