Still learning with the ESP32 CAM board.
In today’s post the scenario is simple:
- Create a client Python app to view remote photos from the ESP32 Cam Arduino device
This is a super lower quality photo, but hey, still good enough !
This is a super simple Python and OpenCV app.
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|# Copyright (c) 2022|
|# Author : Bruno Capuano|
|# Create Time : 2022 March|
|# Change Log :|
|# – Open a remote image from a webserver on a ESPCam32 arduino board|
|# The MIT License (MIT)|
|# Permission is hereby granted, free of charge, to any person obtaining a copy|
|# of this software and associated documentation files (the "Software"), to deal|
|# in the Software without restriction, including without limitation the rights|
|# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell|
|# copies of the Software, and to permit persons to whom the Software is|
|# furnished to do so, subject to the following conditions:|
|# The above copyright notice and this permission notice shall be included in|
|# all copies or substantial portions of the Software.|
|# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR|
|# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,|
|# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE|
|# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER|
|# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,|
|# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN|
|# THE SOFTWARE.|
|import numpy as np|
|url = "http://192.168.137.64/photo"|
|resp = requests.get(url, stream=True).raw|
|image = np.asarray(bytearray(resp.read()), dtype="uint8")|
|image = cv2.imdecode(image, cv2.IMREAD_COLOR)|
|# for testing|
|cv2.imshow('El Bruno – Remote ESP32 Cam image',image)|
view raw esp32camclientpythonapp.py hosted with ❤ by GitHub
Full code available in my ESP32 Cam Demo repository.
More posts in my blog ElBruno.com.
More info in https://beacons.ai/elbruno