Comments (2)
Color-based concept: we simply created a tensor (3D for RGB) and filled in the right channel for each color with some added noise. For example, for red color concept image, you make an empty tensor, then only fill in R channel with full value (whatever your network expects) with some uniform noise! Make sure you visualize this made-up image to ensure the noise level is appropriate (ig you would expect to get varying shades of red).
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It looks like that file was only used to create texture concepts from broaden. As you noticed, I think you could create a similar function to download_texture_to_working_folder
to have it fetch color-based concepts. https://github.com/tensorflow/tcav/blob/master/tcav/tcav_examples/image_models/imagenet/imagenet_and_broden_fetcher.py#L220 shows that the current logic ignores any color-related images when looking for texture images.
@BeenKim what process did you go through to create color-based concepts from datasets? Was it from broaden?
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Related Issues (20)
- Not able to run all the bottlenecks together for any given model HOT 2
- requirement.txt file has a mistake HOT 3
- How to use TCAV with custom keras models(h5) HOT 2
- why the 'get_direction_dir_sign' function returns 'dot_prod<0' instead 'dot_prod>0' ?? HOT 1
- Setup for Run_TCAV.ipynb fails HOT 2
- TCAV with TensorFlow Object Detection API models HOT 4
- TCAV on tabular data HOT 3
- Random Images for TCAV for Diabetic Retinopathy application HOT 9
- Concept Images for TCAV for DR application
- Problem with Relative TCAV plots
- Question regarding discrete model prediction layer activation function and model loss function
- InvalidArgumentError: Requested return tensor 'softmax2_pre_activation:0' not found in graph def HOT 1
- result not reproduced by taking gradient wrt logit and flipping sign HOT 1
- Extend TCAV for Object detection
- TCAV for multiple instance learning
- Clarifying experiments in Section 4.1.2 Empirical Deep Dream
- InvalidArgumentError: Node 'v5/mul_1' is not unique
- Reproduce Fig.4. Zebra TCAV in googlenet from paper
- Downloading the tcav data using the download_and_make_datasets
- Columns and DataType Not Explicitly Set on line 69 of imagenet_and_broden_fetcher.py
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