rdm updatess

Author: Programmer-RD-AI

.ipynb_checkpoints/06-checkpoint.ipynb

@@ -146,10 +146,64 @@ plt.show()
 
 
 
+# Create example values
+height = 224
+width = 224
+color_channels = 3
+patch_size = 16 
 
+# Calculate the number of patches
+number_of_patches = int((height * width) / patch_size**2)
+number_of_patches
 
 
+# Input shape
+embedding_layer_input_shape = (height, width, color_channels)
 
+# Output shape
+embedding_layer_output_shape = (number_of_patches, patch_size**2 * color_channels)
+
+print(f"Input shape (single 2D image): {embedding_layer_input_shape}")
+print(f"Output shape (single 1D sequence of patches): {embedding_layer_output_shape} -> (number_of_patches, embedding_dimension)")
+
+
+
+
+
+plt.imshow(imgs[0].permute(1,2,0))
+
+
+image = imgs[0]
+
+
+image_permuted = image.permute(1,2,0)
+
+
+patch_size = 16
+
+
+plt.figure(figsize=(patch_size,patch_size))
+plt.imshow(image_permuted[:patch_size, :, :])
+
+
+# Setup code to plot top row as patches
+img_size = 224
+patch_size = 16
+num_patches = img_size / patch_size
+assert img_size % patch_size == 0, "Image Size must be divisible by patch size"
+
+num_patches
+
+
+img_size / patch_size, img_size // patch_size
+
+
+fig, axs = plt.subplots(nrows=1, ncols=img_size // patch_size, sharex=True, sharey=True)
+for i, patch in enumerate(range(0, img_size, patch_size)):
+    axs[i].imshow(image_permuted[:patch_size, patch:patch+patch_size, :]);
+    axs[i].set_xlabel(i+1)
+    axs[i].set_xticks([])
+    axs[i].set_yticks([])