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Datasets:
OtoroLin
/
HyperForensics-plus-plus

Tasks:
Image Segmentation
Languages:
English
Size:
1K<n<10K
ArXiv:
Tags:
hyperspectralimage
forgerydetection
License:
Dataset card Files
xet
Community
2

testing

#2
by OtoroLin - opened
base: refs/heads/main
←
from: refs/pr/2
Discussion Files changed
+29
-3688
Files changed (3) hide show
  1. HyperForensics-plus-plus.py +9 -0
  2. contributor_README.md +20 -81
  3. data/metadata.jsonl +0 -3607
HyperForensics-plus-plus.py CHANGED
@@ -16,6 +16,7 @@ import csv
16
  import json
17
  import os
18
  import numpy as np
 
19
 
20
  import datasets
21
 
@@ -128,6 +129,14 @@ class HyperForensicsPlusPlus(datasets.GeneratorBasedBuilder):
128
  # },
129
  #),
130
  ]
 
 
 
 
 
 
 
 
131
 
132
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
133
  def _generate_examples(self, filepath, split):
 
16
  import json
17
  import os
18
  import numpy as np
19
+ import tifffile as tiff # Install with `pip install tifffile`
20
 
21
  import datasets
22
 
 
129
  # },
130
  #),
131
  ]
132
+
133
+ def _load_npy_as_image(self, npy_path):
134
+ """
135
+ Load a .npy file and convert it to a PIL Image for datasets.Image(). Not using in current scope.
136
+ """
137
+ array = np.load(npy_path) # Load the .npy file as a NumPy array
138
+ image = tiff.imread(npy_path) # Convert to a PIL Image
139
+ return image
140
 
141
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
142
  def _generate_examples(self, filepath, split):
contributor_README.md CHANGED
@@ -13,7 +13,7 @@ git clone https://huggingface.co/datasets/OtoroLin/HyperForensics-plus-plus
13
  cd ./HyperForensics-plus-plus
14
  ```
15
  ## 2. Extract the Dataset
16
- Decompress the `.tar.gz` files into a separate local hierarchy. You can utilize the provided `unzipping.sh` script. First, modify the `ROOT_DIR` variable to the `local_data` path
17
  ```bash
18
  # In zipping.sh
19
  # Defined the root directory of the whole dataset
@@ -29,39 +29,26 @@ conda install pigz
29
  ```bash
30
  ./unzipping.sh --method <method name> --config <config name>
31
  ```
32
- Replace `<method name>` with the forgery method and `<config name>` with the configuration index. This will automatically decompressed `.tar.gz` file and put it under hierarchy of the local dataset directory.
33
  For instance, if I want to decompress the images under `ADMM-ADAM` forgery method, `config0` configuration:
34
  ```bash
35
  ./unzipping.sh --method ADMM-ADAM --config 0
36
  ```
37
  This will decompress `HyperForensics-plus-plus/data/ADMM-ADAM/config0/config0.tar.gz` to `/path/to/local/ADMM-ADAM/config0/*`.
38
- ### 2.2 Decompress the entire hierarchy
39
  ```bash
40
  ./unzipping.sh --all
41
  ```
42
- This will recursively decompress all `tar.gz` file in the `HyperForensics-plus-plus/data` and automatically put the decompressed files under hierarchy of the local dataset directory.
43
 
44
- ## 3. [Create a pull request](https://huggingface.co/docs/hub/repositories-pull-requests-discussions#pull-requests-advanced-usage)
45
  The pull requests on Hugging Face do not use forks and branches, but instead custom “branches” called `refs` that are stored directly on the source repo.
46
 
47
  The advantage of using custom `refs` (like `refs/pr/42` for instance) instead of branches is that they’re not fetched (by default) by people cloning the repo, but they can still be fetched on demand.
48
- ### 3.1 Create a new PR on the hugging face
49
- Go to *community* $\to$ *New pull request* $\to$ *On your machine* $\to$ enter *Pull request title* $\to$ *Creat PR branch*
50
 
51
- Then, you shall see a brand new PR page with the title of your PR on the top left. Make note of the index number next to the title `#{index}`.
52
- > In this step, you actually create a new custom branch on **remote** under reference of `ref/pr/#{index}`.
53
 
54
- The PR is still in **draft mode**, the maintainer can not merge the PR untill you publish the PR.
55
- ### 3.2 Create a new PR branch on local
56
- ```bash
57
- git fetch origin refs/pr/<index>
58
- git checkout pr/<index>
59
- ```
60
- Fetch the remote PR branch `ref/pr/<index>` to local PR branch. Then checkout to the newly created custom branch under references `pr/`, and just for unambiguity, using the PR index as the name of that reference. You can actually create a new branch locally here as usual.
61
- ### 3.3 Push the PR branch
62
- After you finish your modification, push the local PR branch to remote Hugging Face. Check it out [here at 6](#6-create-a-pull-request).
63
-
64
- ## 4. Modify or Generate Data
65
  Make changes or generate new data in the extracted directory. Ensure the data follows the required structure:
66
  ```
67
  local_data/
@@ -78,7 +65,7 @@ local_data/
78
  HyperForensics-plus-plus/
79
  |-data/
80
  ```
81
- ## 5. Zip the Directory
82
  After modifying or generating data, zip the directory into `.tar.gz` files and place it in the repository.
83
  You can utilize the provided `zipping.sh` script. First, modify the `ROOT_DIR` variable to the `local_data` path
84
  ```bash
@@ -92,17 +79,17 @@ sudo apt install pigz
92
  # If you are using miniconda
93
  conda install pigz
94
  ```
95
- ### 5.1 Compressing the specify method and configuration:
96
  ```bash
97
  ./zipping.sh --method <method name> --config <config name>
98
  ```
99
- Replace <method name> with the forgery method and <config name> with the configuration index. This will automatically put the compressed `.tar.gz` file under hierarchy of the dataset repo.
100
  For instance, if I want to zip the images under `ADMM-ADAM` forgery method, `config0` configuration:
101
  ```bash
102
  ./zipping.sh --method ADMM-ADAM --config 0
103
  ```
104
  This will compress `/path/to/local/ADMM-ADAM/config0/*` to `HyperForensics-plus-plus/data/ADMM-ADAM/config0/config0.tar.gz`.
105
- ### 5.2 Compressing the specify direcotry
106
  ```bash
107
  ./zipping.sh --dir-path <path/to/directory>
108
  ```
@@ -112,68 +99,20 @@ For instance,
112
  ./zipping.sh --dir-path /path/to/local/ADMM-ADAM/config0
113
  ```
114
  This will compress `/path/to/local/ADMM-ADAM/config0/*` to `HyperForensics-plus-plus/config0.tar.gz`.
115
- ### 5.3 Compress the entire hierarchy
116
  ```bash
117
  ./zipping.sh --all
118
  ```
119
- This will compress the entire local data hierarchy seperately and automatically put the compressed files under hierarchy of the dataset repo.
120
- > **Note** that I did not imiplement the method/config-specified compressing for **Origin** since it seems unlikely people needs to compress/decompress it regularly. You can either do it manually or use the path-specified compressing method and put it in to hierarchy by hand.
121
-
122
- ## 6. Create a Pull Request
123
- Push your changes to created PR:
124
  ```bash
125
- git push origin pr/<index>:refs/pr/<index>
126
  ```
127
- Replace `<index>` with the pull request index. And click the ***Publish*** button on the buttom of the page.
128
- > You can aso leave comment for your PR to showcase where you have modified.
129
  ## 6. Wait for merging the Pull Request
130
- Once the pull request is published, the repository maintainer will review and merge it.
131
 
132
  ---
133
- Thank you for contributing to the HyperForensics++ dataset!
134
-
135
- ## Divide my study into three main scope
136
- 1. The data generation
137
- 2. The quality matricies to determind the quality of our dataset
138
- 3. The forgery detection baseline models
139
- ### The data generation
140
- #### Removal Method
141
- This scope has been almost done by min-zuo with two algorithm 1. ADMM-ADAM; 2. FasyHyIn.
142
- > However, since both strategy looks into spectral domain to inpaint the area. I have to look carefully to make sure it actually **remove** the data instead of recovering it.
143
- > How to do that? I need a **classifier or segmentation model** to detect the image making sure it has a wrong output
144
- #### Object replacement
145
- This scope is under min-zuo's hand. He use CRS_diff diffusion model + harmonization to generate the replacemnt example.
146
- :::warning
147
- The images example above water are hard the current bottleneck.
148
- Needs more attention
149
- :::
150
- #### Adv attack
151
- This is implemented by 恩召, I did not actually ask much about it. Choose one adv-attack strategy. Focusing on highly [transibale](https://zhuanlan.zhihu.com/p/686734868) attack
152
-
153
- ### Qaulity matrics
154
- #### Spectral Consistency Metrics
155
- These metrics are used in HSI-tampering, which are used to ensure that the forged region's spectrum matches the surrounding context
156
- 1. SAM
157
- 2. Spectral RMSE
158
- 3. Pearson correlation (need more info)
159
- 4. EGRAS (need more info)
160
- #### Forgery Detectability Metrics
161
- I think this is the most important one since we are making forgery dataset. We want to show:
162
- - rate of forgery images being mis-classified is high
163
- 1. FNR
164
- 2. Attack Success Rate
165
- 3. Detection Score Drop (detector confidence before/after forgery)
166
- We can use either a classification model or segmentation model
167
- - rate of forgeries not detected by a detection model is low
168
- #### Visual Inspection
169
- 1. User studies - using false color?
170
- 2. Visual result figures (origin vs. forged vs. mask)
171
- #### Visual Quality Matrics
172
- This is relatively not important since this is a forgery dataset, how similar the forgery image is to the ground truth can not evaluate the goodness of the forgery
173
- 1. PSNR
174
- 2. SSIM
175
- 3. LPIPS(Learned Perceptual Image Patch Similarity)
176
- ### Forgery Detection Baseline Model
177
- From previous paragraph [Forgery Detectability Metrics](#forgery-detectability-metrics). We need:
178
- 1. Pixel wise existing forgery detection model
179
- 2. Our own modern SOTA detection model for each attacking method
 
13
  cd ./HyperForensics-plus-plus
14
  ```
15
  ## 2. Extract the Dataset
16
+ Decompress the `.tar.gz` files into a separate local hirarchy. You can utilize the provided `unzipping.sh` script. First, modify the `ROOT_DIR` variable to the `local_data` path
17
  ```bash
18
  # In zipping.sh
19
  # Defined the root directory of the whole dataset
 
29
  ```bash
30
  ./unzipping.sh --method <method name> --config <config name>
31
  ```
32
+ Replace `<method name>` with the forgery method and `<config name>` with the configuration index. This will automatically decompressed `.tar.gz` file and put it under hirarchy of the local dataset directory.
33
  For instance, if I want to decompress the images under `ADMM-ADAM` forgery method, `config0` configuration:
34
  ```bash
35
  ./unzipping.sh --method ADMM-ADAM --config 0
36
  ```
37
  This will decompress `HyperForensics-plus-plus/data/ADMM-ADAM/config0/config0.tar.gz` to `/path/to/local/ADMM-ADAM/config0/*`.
38
+ ### 2.2 Decompress the entire hirarchy
39
  ```bash
40
  ./unzipping.sh --all
41
  ```
42
+ This will recursively decompress all `tar.gz` file in the `HyperForensics-plus-plus/data` and automatically put the decompressed files under hirarchy of the local dataset directory.
43
 
44
+ ## 3. Create a pull request
45
  The pull requests on Hugging Face do not use forks and branches, but instead custom “branches” called `refs` that are stored directly on the source repo.
46
 
47
  The advantage of using custom `refs` (like `refs/pr/42` for instance) instead of branches is that they’re not fetched (by default) by people cloning the repo, but they can still be fetched on demand.
48
+ ### .1 Create a new PR on the hugging face
 
49
 
 
 
50
 
51
+ ## 3. Modify or Generate Data
 
 
 
 
 
 
 
 
 
 
52
  Make changes or generate new data in the extracted directory. Ensure the data follows the required structure:
53
  ```
54
  local_data/
 
65
  HyperForensics-plus-plus/
66
  |-data/
67
  ```
68
+ ## 4. Zip the Directory
69
  After modifying or generating data, zip the directory into `.tar.gz` files and place it in the repository.
70
  You can utilize the provided `zipping.sh` script. First, modify the `ROOT_DIR` variable to the `local_data` path
71
  ```bash
 
79
  # If you are using miniconda
80
  conda install pigz
81
  ```
82
+ ### 4.1 Compressing the specify method and configuration:
83
  ```bash
84
  ./zipping.sh --method <method name> --config <config name>
85
  ```
86
+ Replace <method name> with the forgery method and <config name> with the configuration index. This will automatically put the compressed `.tar.gz` file under hirarchy of the dataset repo.
87
  For instance, if I want to zip the images under `ADMM-ADAM` forgery method, `config0` configuration:
88
  ```bash
89
  ./zipping.sh --method ADMM-ADAM --config 0
90
  ```
91
  This will compress `/path/to/local/ADMM-ADAM/config0/*` to `HyperForensics-plus-plus/data/ADMM-ADAM/config0/config0.tar.gz`.
92
+ ### 4.2 Compressing the specify direcotry
93
  ```bash
94
  ./zipping.sh --dir-path <path/to/directory>
95
  ```
 
99
  ./zipping.sh --dir-path /path/to/local/ADMM-ADAM/config0
100
  ```
101
  This will compress `/path/to/local/ADMM-ADAM/config0/*` to `HyperForensics-plus-plus/config0.tar.gz`.
102
+ ### 4.3 Compress the entire hirarchy
103
  ```bash
104
  ./zipping.sh --all
105
  ```
106
+ This will compress the entire local data hirarchy seperately and automatically put the compressed files under hirarchy of the dataset repo.
107
+ > **Note** that I did not imiplement the method/config-specified compressing for **Origin** since it seems unlikely people needs to compress/decompress it regularly. You can either do it manually or use the path-specified compressing method and put it in to hirarchy by hand.
108
+ ## 5. Create a Pull Request
109
+ Push your changes to create a pull request. Hugging Face uses `git push` to implement pull requests:
 
110
  ```bash
111
+ git push origin pr/<pr index>:refs/pr/<pr index>
112
  ```
113
+ Replace `<pr index>` with the pull request index.
 
114
  ## 6. Wait for merging the Pull Request
115
+ Once the pull request is created, the repository maintainer will review and merge it.
116
 
117
  ---
118
+ Thank you for contributing to the HyperForensics++ dataset!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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