I am using AI Thinker ESP32-CAM with stream url http://192.168.8.100:81/stream
.
I have tried this and other techniques but nothing worked for me
import numpy as np
cap = cv2.VideoCapture("rtsp://192.168.8.100:81/stream")
while(True):
ret, frame = cap.read()
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
I've tried http
as well instead of rstp
but no results at all
"It's working as a stand-alone [device] and handling everything on the ESP32. With the image obtained from the camera, it's doing Canny edge detection with the OpenCV library in real-time. OpenCV is built to work on many platforms, but working stand-alone on ESP32 is really cool."
1) Go to Tools > Board and select AI-Thinker ESP32-CAM. 2) Go to Tools > Port and select the COM port the ESP32 is connected to. 3) Then, click the upload button to upload the code. 4) When you start to see these dots on the debugging window as shown below, press the ESP32-CAM on-board RST button.
Overview: ESP32 CAM Based Object Detection & Identification This tutorial introduces the topic of ESP32 CAM Based Object Detection & Identification with OpenCV. OpenCV is an open-sourced image processing library that is very widely used not just in industry but also in the field of research and development.
This program records an mjpeg avi video to the sd card of an ESP32-CAM. You can just compile, download, power-on ... and it will record a series of 30 minute, HD videos, 12.5 fps on your SD card ...
I have used this arduino code
#include <esp32cam.h>
#include <WebServer.h>
#include <WiFi.h>
const char* WIFI_SSID = "ZONG MBB-E5573-AE26";
const char* WIFI_PASS = "58688303";
WebServer server(80);
static auto loRes = esp32cam::Resolution::find(320, 240);
static auto hiRes = esp32cam::Resolution::find(800, 600);
void handleBmp()
{
if (!esp32cam::Camera.changeResolution(loRes)) {
Serial.println("SET-LO-RES FAIL");
}
auto frame = esp32cam::capture();
if (frame == nullptr) {
Serial.println("CAPTURE FAIL");
server.send(503, "", "");
return;
}
Serial.printf("CAPTURE OK %dx%d %db\n", frame->getWidth(), frame->getHeight(),
static_cast<int>(frame->size()));
if (!frame->toBmp()) {
Serial.println("CONVERT FAIL");
server.send(503, "", "");
return;
}
Serial.printf("CONVERT OK %dx%d %db\n", frame->getWidth(), frame->getHeight(),
static_cast<int>(frame->size()));
server.setContentLength(frame->size());
server.send(200, "image/bmp");
WiFiClient client = server.client();
frame->writeTo(client);
}
void serveJpg()
{
auto frame = esp32cam::capture();
if (frame == nullptr) {
Serial.println("CAPTURE FAIL");
server.send(503, "", "");
return;
}
Serial.printf("CAPTURE OK %dx%d %db\n", frame->getWidth(), frame->getHeight(),
static_cast<int>(frame->size()));
server.setContentLength(frame->size());
server.send(200, "image/jpeg");
WiFiClient client = server.client();
frame->writeTo(client);
}
void handleJpgLo()
{
if (!esp32cam::Camera.changeResolution(loRes)) {
Serial.println("SET-LO-RES FAIL");
}
serveJpg();
}
void handleJpgHi()
{
if (!esp32cam::Camera.changeResolution(hiRes)) {
Serial.println("SET-HI-RES FAIL");
}
serveJpg();
}
void handleJpg()
{
server.sendHeader("Location", "/cam-hi.jpg");
server.send(302, "", "");
}
void handleMjpeg()
{
if (!esp32cam::Camera.changeResolution(hiRes)) {
Serial.println("SET-HI-RES FAIL");
}
Serial.println("STREAM BEGIN");
WiFiClient client = server.client();
auto startTime = millis();
int res = esp32cam::Camera.streamMjpeg(client);
if (res <= 0) {
Serial.printf("STREAM ERROR %d\n", res);
return;
}
auto duration = millis() - startTime;
Serial.printf("STREAM END %dfrm %0.2ffps\n", res, 1000.0 * res / duration);
}
void setup()
{
Serial.begin(115200);
Serial.println();
{
using namespace esp32cam;
Config cfg;
cfg.setPins(pins::AiThinker);
cfg.setResolution(hiRes);
cfg.setBufferCount(2);
cfg.setJpeg(80);
bool ok = Camera.begin(cfg);
Serial.println(ok ? "CAMERA OK" : "CAMERA FAIL");
}
WiFi.persistent(false);
WiFi.mode(WIFI_STA);
WiFi.begin(WIFI_SSID, WIFI_PASS);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
}
Serial.print("http://");
Serial.println(WiFi.localIP());
Serial.println(" /cam.bmp");
Serial.println(" /cam-lo.jpg");
Serial.println(" /cam-hi.jpg");
Serial.println(" /cam.mjpeg");
server.on("/cam.bmp", handleBmp);
server.on("/cam-lo.jpg", handleJpgLo);
server.on("/cam-hi.jpg", handleJpgHi);
server.on("/cam.jpg", handleJpg);
server.on("/cam.mjpeg", handleMjpeg);
server.begin();
}
void loop()
{
server.handleClient();
}
And OpenCV code
import urllib
import cv2
import numpy as np
url='http://192.168.8.100/cam-hi.jpg'
while True:
imgResp=urllib.request.urlopen(url)
imgNp=np.array(bytearray(imgResp.read()),dtype=np.uint8)
img=cv2.imdecode(imgNp,-1)
# all the opencv processing is done here
cv2.imshow('test',img)
if ord('q')==cv2.waitKey(10):
exit(0)
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