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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: lensless |
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dtype: image |
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- name: lensed |
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dtype: image |
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- name: 5_o_Clock_Shadow |
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dtype: bool |
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- name: Arched_Eyebrows |
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dtype: bool |
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- name: Attractive |
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dtype: bool |
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- name: Bags_Under_Eyes |
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dtype: bool |
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- name: Bald |
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dtype: bool |
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- name: Bangs |
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dtype: bool |
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- name: Big_Lips |
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dtype: bool |
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- name: Big_Nose |
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dtype: bool |
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- name: Black_Hair |
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dtype: bool |
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- name: Blond_Hair |
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dtype: bool |
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- name: Blurry |
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dtype: bool |
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- name: Brown_Hair |
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dtype: bool |
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- name: Bushy_Eyebrows |
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dtype: bool |
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- name: Chubby |
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dtype: bool |
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- name: Double_Chin |
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dtype: bool |
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- name: Eyeglasses |
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dtype: bool |
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- name: Goatee |
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dtype: bool |
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- name: Gray_Hair |
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dtype: bool |
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- name: Heavy_Makeup |
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dtype: bool |
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- name: High_Cheekbones |
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dtype: bool |
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- name: Male |
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dtype: bool |
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- name: Mouth_Slightly_Open |
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dtype: bool |
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- name: Mustache |
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dtype: bool |
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- name: Narrow_Eyes |
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dtype: bool |
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- name: No_Beard |
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dtype: bool |
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- name: Oval_Face |
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dtype: bool |
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- name: Pale_Skin |
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dtype: bool |
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- name: Pointy_Nose |
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dtype: bool |
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- name: Receding_Hairline |
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dtype: bool |
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- name: Rosy_Cheeks |
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dtype: bool |
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- name: Sideburns |
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dtype: bool |
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- name: Smiling |
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dtype: bool |
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- name: Straight_Hair |
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dtype: bool |
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- name: Wavy_Hair |
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dtype: bool |
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- name: Wearing_Earrings |
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dtype: bool |
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- name: Wearing_Hat |
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dtype: bool |
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- name: Wearing_Lipstick |
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dtype: bool |
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- name: Wearing_Necklace |
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dtype: bool |
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- name: Wearing_Necktie |
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dtype: bool |
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- name: Young |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 11236670416.5 |
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num_examples: 8500 |
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- name: test |
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num_bytes: 1981621309.5 |
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num_examples: 1500 |
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download_size: 13157231113 |
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dataset_size: 13218291726 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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task_categories: |
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- image-to-image |
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- image-classification |
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tags: |
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- lensless |
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- computational-imaging |
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size_categories: |
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- 1K<n<10K |
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--- |
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[](https://colab.research.google.com/drive/1t59uyZMMyCUYVHGXdqdlNlDlb--FL_3P?usp=sharing) |
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Dataset for the paper: https://opg.optica.org/abstract.cfm?uri=pcAOP-2023-JTu4A.45 |
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Data is measured with a computer monitor at 30 cm as shown below (except for the in-the-wild mug measurement which is measured at 12 cm). |
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After cloning and installing [LenslessPiCam](https://github.com/LCAV/LenslessPiCam), ADMM reconstruction can be applied to the dataset with [this script](https://github.com/LCAV/LenslessPiCam/blob/main/scripts/recon/dataset.py) (handles dataset downloading from Hugging Face). |
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```bash |
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python scripts/recon/dataset.py -cn recon_celeba_digicam |
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``` |
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The [simulated PSF](https://huggingface.co/datasets/bezzam/DigiCam-CelebA-10K/blob/main/psf_simulated.png) can be obtained and compared with the measured one with the following command: |
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```bash |
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python scripts/sim/digicam_psf.py \ |
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digicam.pattern=mask_pattern.npy \ |
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digicam.psf=psf_measured.png \ |
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digicam.ap_center=[59,76] \ |
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digicam.ap_shape=[19,26] \ |
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digicam.rotate=-0.8 \ |
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digicam.vertical_shift=-20 \ |
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digicam.horizontal_shift=-100 \ |
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sim.waveprop=False |
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``` |
