# Author:KuoYuan Li
[](https://sites.google.com/ms2.ccsh.tn.edu.tw/pclearn0915)
wrap the javascript code to handle image from webcam in colab
本package提供一系列在 colab 中操作webcam的方法
在colab中使用之前請先進行安裝
```
!pip install colabcam
```
##### webcam 拍照存檔
##### (take a photo from webcam and save to 1.jpg)
```python
import colabcam
colabcam.take_photo("1.jpg")
```
### 動態顯示人臉框及文字(cv2只支援英數字)
### (demo with mediapipe face_detection)
```python
#Note:bbox(人臉框)是另外疊加顯示的，速度會有延遲是正常的
import mediapipe as mp
import colabcam
import numpy as np
import cv2
mp_face_detection = mp.solutions.face_detection
face_detection = mp_face_detection.FaceDetection()
# start streaming video from webcam
colabcam.video_stream()
# label for video
label_html = '顯示中...(點擊畫面以結束顯示)'
# initialze bounding box to empty
bbox = ''
while True:
js_reply = colabcam.video_frame(label_html, bbox)
if not js_reply:break
# convert JS response to OpenCV Image
img = colabcam.js_to_image(js_reply["img"])
results = face_detection.process(img)
frame_height,frame_width=np.shape(img)[0:2]
overlapImg = np.zeros([frame_height,frame_width,4], dtype=np.uint8)
if results.detections:
for detection in results.detections:
box = detection.location_data.relative_bounding_box
x, y, w, h =int(box.xmin*frame_width),int(box.ymin*frame_height), \
int(box.width*frame_width),int(box.height*frame_height)
if w>0 and h>0:
overlapImg = cv2.rectangle(overlapImg,(x,y),(x+w,y+h),(255,0,0),2)
cv2.putText(overlapImg,'text test',(x,y-20),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0),2)
bbox = colabcam.cvImg2bbox(overlapImg)
```
License
----
MIT
Raw data
{
"_id": null,
"home_page": "https://pypi.org/project/colabcam",
"name": "colabcam",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "colab,webcam,javascript,take_photo,take_img,record_video_timed",
"author": "KuoYuan Li",
"author_email": "funny4875@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/4c/40/825fa07131d01c42078c314f0b87006ab1e231e8aa946e6ec3f86cef1cd0/colabcam-1.0.3.tar.gz",
"platform": null,
"description": "# Author:KuoYuan Li\n[](https://sites.google.com/ms2.ccsh.tn.edu.tw/pclearn0915) \nwrap the javascript code to handle image from webcam in colab \n\u672cpackage\u63d0\u4f9b\u4e00\u7cfb\u5217\u5728 colab \u4e2d\u64cd\u4f5cwebcam\u7684\u65b9\u6cd5 \n\u5728colab\u4e2d\u4f7f\u7528\u4e4b\u524d\u8acb\u5148\u9032\u884c\u5b89\u88dd \n```\n!pip install colabcam\n```\n\t\n##### webcam \u62cd\u7167\u5b58\u6a94\n##### (take a photo from webcam and save to 1.jpg)\n```python\nimport colabcam\ncolabcam.take_photo(\"1.jpg\")\n```\n### \u52d5\u614b\u986f\u793a\u4eba\u81c9\u6846\u53ca\u6587\u5b57(cv2\u53ea\u652f\u63f4\u82f1\u6578\u5b57)\n### (demo with mediapipe face_detection)\n```python\n#Note:bbox(\u4eba\u81c9\u6846)\u662f\u53e6\u5916\u758a\u52a0\u986f\u793a\u7684\uff0c\u901f\u5ea6\u6703\u6709\u5ef6\u9072\u662f\u6b63\u5e38\u7684\nimport mediapipe as mp\nimport colabcam\nimport numpy as np\nimport cv2\nmp_face_detection = mp.solutions.face_detection\nface_detection = mp_face_detection.FaceDetection()\n# start streaming video from webcam\ncolabcam.video_stream()\n# label for video\nlabel_html = '\u986f\u793a\u4e2d...(\u9ede\u64ca\u756b\u9762\u4ee5\u7d50\u675f\u986f\u793a)'\n# initialze bounding box to empty\nbbox = ''\nwhile True: \n js_reply = colabcam.video_frame(label_html, bbox) \n if not js_reply:break \n # convert JS response to OpenCV Image \n img = colabcam.js_to_image(js_reply[\"img\"]) \n results = face_detection.process(img) \n frame_height,frame_width=np.shape(img)[0:2] \n overlapImg = np.zeros([frame_height,frame_width,4], dtype=np.uint8) \n if results.detections: \n for detection in results.detections: \n box = detection.location_data.relative_bounding_box \n x, y, w, h =int(box.xmin*frame_width),int(box.ymin*frame_height), \\\n int(box.width*frame_width),int(box.height*frame_height) \n if w>0 and h>0: \n overlapImg = cv2.rectangle(overlapImg,(x,y),(x+w,y+h),(255,0,0),2) \n cv2.putText(overlapImg,'text test',(x,y-20),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0),2) \n bbox = colabcam.cvImg2bbox(overlapImg) \n```\n\n\n\n\nLicense\n----\n\nMIT",
"bugtrack_url": null,
"license": "",
"summary": "Process image from webcam in colab",
"version": "1.0.3",
"split_keywords": [
"colab",
"webcam",
"javascript",
"take_photo",
"take_img",
"record_video_timed"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "4c40825fa07131d01c42078c314f0b87006ab1e231e8aa946e6ec3f86cef1cd0",
"md5": "9615ecab230b2a14ec176abb9b1dd1d3",
"sha256": "18ab3e407bf23bd0c044a45dd5010191b2551b40d57ede1ccbff65365026e1d6"
},
"downloads": -1,
"filename": "colabcam-1.0.3.tar.gz",
"has_sig": false,
"md5_digest": "9615ecab230b2a14ec176abb9b1dd1d3",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 5387,
"upload_time": "2023-03-27T05:43:56",
"upload_time_iso_8601": "2023-03-27T05:43:56.902803Z",
"url": "https://files.pythonhosted.org/packages/4c/40/825fa07131d01c42078c314f0b87006ab1e231e8aa946e6ec3f86cef1cd0/colabcam-1.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-03-27 05:43:56",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "colabcam"
}
JSON