use .zip file

Caltech-101.py

@@ -45,8 +45,7 @@ _HOMEPAGE = "https://data.caltech.edu/records/20086"
 
 _LICENSE = "CC BY 4.0"
 
-# _DATA_URL = "brand_new_data/caltech-101.zip"
-_DATA_URL = "brand_new_data/caltech-101/101_ObjectCategories.tar.gz"
+_DATA_URL = "caltech-101.zip"
 
 _NAMES = [
     "accordion",
@@ -180,7 +179,9 @@ class Caltech101(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_DATA_URL)
+        data_root_dir = dl_manager.download_and_extract(_DATA_URL)
+        compress_folder_path = [file for file in dl_manager.iter_files(data_root_dir) if Path(file).name == "101_ObjectCategories.tar.gz"][0]
+        data_dir = dl_manager.extract(compress_folder_path)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -212,7 +213,6 @@ class Caltech101(datasets.GeneratorBasedBuilder):
 
         for class_dir in data_dir.iterdir():
             fnames = [image_path for image_path in class_dir.iterdir() if image_path.name.endswith(".jpg")]
-            assert [image_path for image_path in class_dir.iterdir() if not image_path.name.endswith(".jpg")] == []
             # _TRAIN_POINTS_PER_CLASS datapoints are sampled for the train split,
             # the others constitute the test split.
             if _TRAIN_POINTS_PER_CLASS > len(fnames):

brand_new_data/caltech-101/Annotations.tar

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1717f4e10aa837b05956e3f4c94456527b143eec0d95e935028b30aff40663d8
-size 14028800

brand_new_data/caltech-101/show_annotation.m

@@ -1,44 +0,0 @@
-function show_annotation(imgfile, annotation_file);
-%% 
-%% imgfile: string
-%% annotation_file: string
-%%
-%% written by by Fei-Fei Li - November 2004
-%%
-
-IMTYPE = 'jpg'; 
-GUIDELINE_MODE = 1; 
-%% Parameters 
-%label_abbrev = {'LE', 'RE', 'LN', 'NB', 'RN', 'LM', 'RM'}; 
-LARGEFONT = 28; 
-MEDFONT = 18; 
-BIG_WINDOW = get(0,'ScreenSize'); 
-SMALL_WINDOW = [100 100 512 480]; 
- 
-%% load the annotated data
-load(annotation_file, 'box_coord', 'obj_contour');
-
-%% Read and display image 
-ima = imread(imgfile); 
-ff=figure(1); clf; imagesc(ima); axis image; axis ij; hold on;
-% black and white images
-if length(size(ima))<3
-   colormap(gray);
-end
-set(ff,'Position',SMALL_WINDOW); 
-   
-%% show box
-box_handle = rectangle('position', [box_coord(3), box_coord(1), box_coord(4)-box_coord(3), box_coord(2)-box_coord(1)]);
-set(box_handle, 'edgecolor','y', 'linewidth',5);
-
-%% show contour
-for cc = 1:size(obj_contour,2)
-   if cc < size(obj_contour,2)
-      plot([obj_contour(1,cc), obj_contour(1,cc+1)]+box_coord(3), [obj_contour(2,cc), obj_contour(2,cc+1)]+box_coord(1), 'r','linewidth',4);
-   else
-      plot([obj_contour(1,cc), obj_contour(1,1)]+box_coord(3), [obj_contour(2,cc), obj_contour(2,1)]+box_coord(1), 'r','linewidth',4);
-   end
-end
-
-title(imgfile);
- 

brand_new_data/caltech-101/101_ObjectCategories.tar.gz → caltech-101.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af6ece2f339791ca20f855943d8b55dd60892c0a25105fcd631ee3d6430f9926
-size 131740031
+oid sha256:331234750fc7f77520e50d9565e8b6907b03565e30320da1401130db08c61f91
+size 137414764