### Setup ViperGPT Environment and GLIP

Source: https://github.com/cvlab-columbia/viper/blob/main/README.md

Commands to set up the environment, activate conda, and install the modified GLIP version. Ensure CUDA bin directory is in PATH.

```bash
cd viper
export PATH=/usr/local/cuda/bin:$PATH
bash setup.sh  # This may take a while. Make sure the vipergpt environment is active
cd GLIP
python setup.py clean --all build develop --user
cd ..
```

--------------------------------

### Setup ViperGPT Environment and GLIP Dependencies

Source: https://github.com/cvlab-columbia/viper/blob/main/README.md

Steps to set up the conda environment, activate it, and install the custom GLIP package. Includes setting the CUDA path.

```bash
export PATH=/usr/local/cuda/bin:$PATH
bash setup_env.sh
conda activate vipergpt
cd GLIP
python setup.py clean --all build develop --user
```

--------------------------------

### Import ViperGPT Library

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Imports all necessary functions from the ViperGPT library. Ensure the library is installed and accessible.

```python
from main_simple_lib import *

```

--------------------------------

### Configure OpenAI API Key

Source: https://github.com/cvlab-columbia/viper/blob/main/README.md

Create an 'api.key' file and store your OpenAI API key in it to enable OpenAI model functionality.

```bash
echo YOUR_OPENAI_API_KEY_HERE > api.key
```

--------------------------------

### Execute Code with Intermediate Steps

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Executes Python code and displays intermediate steps. Ensure 'code' and 'im' are defined before use.

```python
execute_code(code, im, show_intermediate_steps=True)
```

--------------------------------

### Display HTML Output

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Renders HTML output. This is typically a result of a previous computation.

```python
Output()
```

--------------------------------

### Load Image and Define Query

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Loads an image from a URL and defines a natural language query for image analysis. The `load_image` function fetches the image, and `show_single_image` displays it.

```python
im = load_image('https://viper.cs.columbia.edu/static/images/kids_muffins.jpg')
query = 'How many muffins can each kid have for it to be fair?'

show_single_image(im)
code = get_code(query)

```

--------------------------------

### Clone ViperGPT Repository Recursively

Source: https://github.com/cvlab-columbia/viper/blob/main/README.md

Use this command to clone the ViperGPT repository along with its submodules.

```bash
git clone --recurse-submodules https://github.com/cvlab-columbia/viper.git
```

--------------------------------

### Run ViperGPT in Batch Mode

Source: https://github.com/cvlab-columbia/viper/blob/main/README.md

Execute the ViperGPT code on a dataset without using the Jupyter notebook. Ensure the CONFIG_NAMES environment variable is set to your configuration file name.

```bash
CONFIG_NAMES=your_config_name python main_batch.py
```

--------------------------------

### Display Muffin Image Patches

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Displays individual image patches identified as muffins. Each patch is visualized separately.

```python
muffin_patches[0] =
```

```python
muffin_patches[1] =
```

```python
muffin_patches[2] =
```

```python
muffin_patches[3] =
```

```python
muffin_patches[4] =
```

```python
muffin_patches[5] =
```

```python
muffin_patches[6] =
```

```python
muffin_patches[7] =
```

--------------------------------

### Display Kid Image Patches

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Displays individual image patches identified as kids. Each patch is visualized separately.

```python
kid_patches[0] =
```

```python
kid_patches[1] =
```

--------------------------------

### BibTeX Citation for ViperGPT

Source: https://github.com/cvlab-columbia/viper/blob/main/README.md

Use this BibTeX entry for citing the ViperGPT paper in academic publications. It includes author, title, journal, and year information.

```bibtex
@article{surismenon2023vipergpt,
    title={ViperGPT: Visual Inference via Python Execution for Reasoning},
    author={D\'idac Sur\'is and Sachit Menon and Carl Vondrick},
    journal={arXiv preprint arXiv:2303.08128},
    year={2023}
}
```

--------------------------------

### Generate Code for Image Analysis

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Generates Python code based on a given query and image context. This code is designed to analyze the image and extract specific information, such as object counts.

```python
def execute_command(image):
     image_patch  =  ImagePatch (image)
     muffin_patches  =  image_patch.find( "muffin" )
     kid_patches  =  image_patch.find( "kid" )
     num_muffins  =  len ( muffin_patches )
     num_kids  =  len ( kid_patches )

```

--------------------------------

### Final Result Display

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Shows the final computed result after all operations.

```python
Result = 4
```

--------------------------------

### Display Image Patch

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Represents a single image patch, likely a segment of a larger image.

```python
image_patch =
```

--------------------------------

### Set Number of Kids

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Assigns a value to the 'num_kids' variable. This likely represents a count used in subsequent calculations.

```python
num_kids = 2
```

--------------------------------

### Calculate Ceiling Division

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Calculates the ceiling of the division between the number of muffins and the number of kids. This is useful for determining the number of groups or resources needed.

```python
math.ceil(num_muffins / num_kids) = 4
```

--------------------------------

### Set Number of Muffins

Source: https://github.com/cvlab-columbia/viper/blob/main/main_simple.ipynb

Assigns a value to the 'num_muffins' variable. This likely represents a count used in subsequent calculations.

```python
num_muffins = 8
```

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