| Name | streamlit-cropper JSON |
| Version |
0.2.2
JSON |
| download |
| home_page | |
| Summary | A simple image cropper for Streamlit |
| upload_time | 2023-10-05 06:38:45 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
|
| VCS |
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| bugtrack_url |
|
| requirements |
No requirements were recorded.
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# Streamlit - Cropper
A streamlit custom component for easy image cropping
## Installation
```shell script
pip install streamlit-cropper
```
## Example Usage
```python
import streamlit as st
from streamlit_cropper import st_cropper
from PIL import Image
st.set_option('deprecation.showfileUploaderEncoding', False)
# Upload an image and set some options for demo purposes
st.header("Cropper Demo")
img_file = st.sidebar.file_uploader(label='Upload a file', type=['png', 'jpg'])
realtime_update = st.sidebar.checkbox(label="Update in Real Time", value=True)
box_color = st.sidebar.color_picker(label="Box Color", value='#0000FF')
aspect_choice = st.sidebar.radio(label="Aspect Ratio", options=["1:1", "16:9", "4:3", "2:3", "Free"])
aspect_dict = {
"1:1": (1, 1),
"16:9": (16, 9),
"4:3": (4, 3),
"2:3": (2, 3),
"Free": None
}
aspect_ratio = aspect_dict[aspect_choice]
if img_file:
img = Image.open(img_file)
if not realtime_update:
st.write("Double click to save crop")
# Get a cropped image from the frontend
cropped_img = st_cropper(img, realtime_update=realtime_update, box_color=box_color,
aspect_ratio=aspect_ratio)
# Manipulate cropped image at will
st.write("Preview")
_ = cropped_img.thumbnail((150,150))
st.image(cropped_img)
```
## References
- [streamlit-drawable-canvas](https://github.com/andfanilo/streamlit-drawable-canvas)
## Acknowledgments
Big thanks to zoncrd and yanirs for their contributions
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"description": "# Streamlit - Cropper\r\n\r\nA streamlit custom component for easy image cropping\r\n\r\n\r\n\r\n## Installation\r\n\r\n```shell script\r\npip install streamlit-cropper\r\n```\r\n\r\n## Example Usage\r\n\r\n```python\r\nimport streamlit as st\r\nfrom streamlit_cropper import st_cropper\r\nfrom PIL import Image\r\nst.set_option('deprecation.showfileUploaderEncoding', False)\r\n\r\n# Upload an image and set some options for demo purposes\r\nst.header(\"Cropper Demo\")\r\nimg_file = st.sidebar.file_uploader(label='Upload a file', type=['png', 'jpg'])\r\nrealtime_update = st.sidebar.checkbox(label=\"Update in Real Time\", value=True)\r\nbox_color = st.sidebar.color_picker(label=\"Box Color\", value='#0000FF')\r\naspect_choice = st.sidebar.radio(label=\"Aspect Ratio\", options=[\"1:1\", \"16:9\", \"4:3\", \"2:3\", \"Free\"])\r\naspect_dict = {\r\n \"1:1\": (1, 1),\r\n \"16:9\": (16, 9),\r\n \"4:3\": (4, 3),\r\n \"2:3\": (2, 3),\r\n \"Free\": None\r\n}\r\naspect_ratio = aspect_dict[aspect_choice]\r\n\r\nif img_file:\r\n img = Image.open(img_file)\r\n if not realtime_update:\r\n st.write(\"Double click to save crop\")\r\n # Get a cropped image from the frontend\r\n cropped_img = st_cropper(img, realtime_update=realtime_update, box_color=box_color,\r\n aspect_ratio=aspect_ratio)\r\n \r\n # Manipulate cropped image at will\r\n st.write(\"Preview\")\r\n _ = cropped_img.thumbnail((150,150))\r\n st.image(cropped_img)\r\n```\r\n\r\n## References\r\n\r\n- [streamlit-drawable-canvas](https://github.com/andfanilo/streamlit-drawable-canvas)\r\n\r\n## Acknowledgments\r\n\r\nBig thanks to zoncrd and yanirs for their contributions\r\n",
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