Cannot pass `get_label_func` in `fd.vis.duplicates_gallery`

[dnth]

Python version - 3.10 fastdup version - 0.214 OS - Ubuntu 20.04

I'm trying to pass in get_label_func to fd.vis.duplicates_gallery

fd.vis.similarity_gallery(get_label_func=lambda x: x.split('/')[-2])

I encountered the following error

Traceback (most recent call last):
  File "/home/dnth/anaconda3/envs/fastdupv1/lib/python3.10/site-packages/fastdup/sentry.py", line 114, in inner_function
    ret = func(*args, **kwargs)
  File "/home/dnth/anaconda3/envs/fastdupv1/lib/python3.10/site-packages/fastdup/fastdup_visualizer.py", line 224, in similarity_gallery
    create_similarity_gallery(df_sim, work_dir=self._controller.work_dir, save_path=save_dir, lazy_load=lazy_load,
TypeError: fastdup.create_similarity_gallery() got multiple values for keyword argument 'get_label_func'
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[43], line 1
----> 1 fd.vis.similarity_gallery(get_label_func=lambda x: x.split('/')[-2])

File ~/anaconda3/envs/fastdupv1/lib/python3.10/site-packages/fastdup/sentry.py:120, in v1_sentry_handler.<locals>.inner_function(*args, **kwargs)
    118 except Exception as ex:
    119     fastdup_capture_exception(f"V1:{func.__name__}", ex)
--> 120     raise ex

File ~/anaconda3/envs/fastdupv1/lib/python3.10/site-packages/fastdup/sentry.py:114, in v1_sentry_handler.<locals>.inner_function(*args, **kwargs)
    112 try:
    113     start_time = time.time()
--> 114     ret = func(*args, **kwargs)
    115     fastdup_performance_capture(f"V1:{func.__name__}", start_time)
    116     return ret

File ~/anaconda3/envs/fastdupv1/lib/python3.10/site-packages/fastdup/fastdup_visualizer.py:224, in FastdupVisualizer.similarity_gallery(self, save_path, label_col, draw_bbox, num_images, max_width, lazy_load, slice, ascending, threshold, show, load_crops, **kwargs)
    222 # create gallery
    223 jupyter_html = 'JPY_PARENT_PID' in os.environ and show
--> 224 create_similarity_gallery(df_sim, work_dir=self._controller.work_dir, save_path=save_dir, lazy_load=lazy_load,
    225                           get_bounding_box_func=self._get_bbox_func() if draw_bbox and not load_crops else None,
    226                           get_label_func=self._get_label_func(label_col),
    227                           num_images=num_images, max_width=max_width, threshold=threshold,
    228                           id_to_filename_func=self._get_filneme_func(load_crops), descending=not ascending,
    229                           get_display_filename_func=self._get_disp_filneme_func(),
    230                           get_extra_col_func=None, jupyter_html=jupyter_html, slice=slice, **kwargs)
    231 self._clean_temp_dir(save_dir, html_src_path, html_dst_path, lazy_load=lazy_load)
    232 if show:

TypeError: fastdup.create_similarity_gallery() got multiple values for keyword argument 'get_label_func'

[dbickson]

The new api v1 allows settings a command line argument named annotations where you send a pandas dataframe with a column named "label" per each image (column is img_filename). This is a bit of a change vs. the previous get_label_func. Let us know if this is usable or you would like to see something else?

[dnth]

Is there a sample code of how to get the labels using the v1 API?

[dbickson]

Here is the example, look for annotations https://visual-layer.readme.io/docs/analyzing-labeled-images Let us know if it is not clear

[dbickson]

Closing this one. get_label_func() can be still used via 0.2 API https://visual-layer.readme.io/docs/v02xx-api