kopia lustrzana https://github.com/alanesq/esp32cam-demo
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Alan
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a7bf2890a0
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@ -40,7 +40,7 @@
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const char* password = "<your wifi password here>";
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const char* stitle = "ESP32Cam-demo"; // title of this sketch
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const char* sversion = "13Nov20"; // Sketch version
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const char* sversion = "14Nov20"; // Sketch version
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const bool debugInfo = 1; // show additional debug info. on serial port (1=enabled)
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@ -198,7 +198,7 @@ void setup() {
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entry.close();
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}
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root.close();
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Serial.printf("Image file count = %d",imageCounter);
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Serial.printf("Image file count = %d \n",imageCounter);
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}
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// define io pins
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@ -206,15 +206,17 @@ void setup() {
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digitalWrite(indicatorLED,HIGH); // led off = High
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pinMode(brightLED, OUTPUT); // flash LED
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digitalWrite(brightLED,LOW); // led off = Low
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pinMode(iopinA, OUTPUT); // pin 13 - free io pin, can be input or output
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pinMode(iopinB, OUTPUT); // pin 12 - free io pin, can be input or output (must be low at boot)
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pinMode(iopinA, OUTPUT); // pin 13 - free io pin, can be used for input or output
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pinMode(iopinB, OUTPUT); // pin 12 - free io pin, can be used for input or output (must not be high at boot)
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// check the esp32cam board has a psram chip installed (extra memory used for storing captured images)
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// Note: if not using "AI thinker esp32 cam" in the Arduino IDE, SPIFFS must be enabled
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if (!psramFound()) {
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Serial.println("Warning: No PSRam found so defaulting to image size 'CIF'");
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framesize_t FRAME_SIZE_IMAGE = FRAMESIZE_CIF;
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}
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Serial.println("\n\nStarted...");
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Serial.println("\nSetup complete...");
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} // setup
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@ -237,19 +239,18 @@ void loop() {
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// <<< your code here >>>
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// <<< YOUR CODE HERE >>>
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// // Capture an image and save to sd card every 5 seconds (i.e. time lapse)
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// // demo to Capture an image and save to sd card every 5 seconds (i.e. time lapse)
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// if ((unsigned long)(millis() - lastCamera) >= 5000) {
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// lastCamera = millis(); // reset timer
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// storeImage(); // save an image to sd card
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// }
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// flash status LED to show sketch is running ok
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if ((unsigned long)(millis() - lastStatus) >= TimeBetweenStatus) {
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lastStatus = millis(); // reset timer
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@ -291,7 +292,8 @@ bool setupCameraHardware() {
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config.xclk_freq_hz = 20000000; // XCLK 20MHz or 10MHz for OV2640 double FPS (Experimental)
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config.pixel_format = PIXFORMAT_JPEG; // Options = YUV422, GRAYSCALE, RGB565, JPEG, RGB888
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config.frame_size = FRAME_SIZE_IMAGE; // Image sizes: 160x120 (QQVGA), 128x160 (QQVGA2), 176x144 (QCIF), 240x176 (HQVGA), 320x240 (QVGA),
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// 400x296 (CIF), 640x480 (VGA, default), 800x600 (SVGA), 1024x768 (XGA), 1280x1024 (SXGA), 1600x1200 (UXGA)
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// 400x296 (CIF), 640x480 (VGA, default), 800x600 (SVGA), 1024x768 (XGA), 1280x1024 (SXGA),
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// 1600x1200 (UXGA)
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config.jpeg_quality = 5; // 0-63 lower number means higher quality
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config.fb_count = 1; // if more than one, i2s runs in continuous mode. Use only with JPEG
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@ -311,19 +313,19 @@ bool setupCameraHardware() {
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// ----------------------------------------------------------------
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// -Change camera settings
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// ----------------------------------------------------------------
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// Adjust image properties (e.g. brightness)
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// Adjust image properties (brightness etc.)
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// Defaults to auto adjustments if exposure and gain are both set to zero
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// Note: White balance is disabled when manual settings applied to assist when using RGB data to compare colours
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// Returns TRUE if successful
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// - Returns TRUE if successful
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bool cameraImageSettings() {
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sensor_t *s = esp_camera_sensor_get();
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if (s == NULL) {
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Serial.println("Error: problem getting camera sensor settings");
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Serial.println("Error: problem reading camera sensor settings");
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return 0;
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}
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// if both set to zero enable auto adjust
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if (cameraImageExposure == 0 && cameraImageGain == 0) {
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// enable auto adjust
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s->set_gain_ctrl(s, 1); // auto gain on
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@ -332,7 +334,7 @@ bool cameraImageSettings() {
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} else {
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// Apply manual settings
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s->set_gain_ctrl(s, 0); // auto gain off
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s->set_awb_gain(s, 0); // Auto White Balance enable (0 or 1)
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s->set_awb_gain(s, 1); // Auto White Balance enable (0 or 1)
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s->set_exposure_ctrl(s, 0); // auto exposure off
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s->set_agc_gain(s, cameraImageGain); // set gain manually (0 - 30)
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s->set_aec_value(s, cameraImageExposure); // set exposure manually (0-1200)
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@ -716,8 +718,14 @@ void handleNotFound() {
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// ----------------------------------------------------------------
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// -access image data as RGB - i.e. http://x.x.x.x/rgb
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// ----------------------------------------------------------------
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// Info. from: https://github.com/Makerfabs/Project_Touch-Screen-Camera/blob/master/Camera_v2/Camera_v2.ino
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// note: Will fail on the highest resolution as it requires more than 4mb to store the data (in psram)
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// Notes:
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// You can send the entire image over the web with the command: client.write(rgb, ARRAY_LENGTH);
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// If this is all that is sent then it will download to the client as a raw RGB file which you can then view using this
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// Processing sketch: https://github.com/alanesq/esp32cam-demo/blob/master/Misc/displayRGB.pde
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// You may want to disable auto white balance when experimenting with RGB otherwise the camera is always trying to adjust the
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// image colours to mainly white. (disable in the 'camera settings' procedure).
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// It will fail on the highest resolution (1600x1200) as it requires more than the 4mb of available psram to store the data (1600x1200x3 bytes)
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// I discovered how to do this from: https://github.com/Makerfabs/Project_Touch-Screen-Camera/blob/master/Camera_v2/Camera_v2.ino
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void readRGBImage() {
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@ -764,19 +772,15 @@ void readRGBImage() {
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// ****** examples of reading the resulting RGB data *****
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// Note: You can send the entire image with the command: client.write(rgb, ARRAY_LENGTH);
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// If this is all that is sent then it will download to the client as a raw RGB file which you can then view using this
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// Processing sketch: https://github.com/alanesq/esp32cam-demo/blob/master/Misc/displayRGB.pde
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// display some of the resulting data
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uint32_t resultsToShow = 50; // how much data to display
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MessageRGB(client,"R , G , B");
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for (uint32_t i = 0; i < resultsToShow-2; i+=3) {
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MessageRGB(client,String(rgb[i+2]) + "," + String(rgb[i+1]) + "," + String(rgb[i+0])); // Red , Green , Blue
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// // how to calculate the x and y coordinate of the pixel
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// uint16_t x = i % fb->width;
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// uint16_t y = floor(i / fb->width);
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// // calculate the x and y coordinate of the current pixel
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// uint16_t x = (i / 3) % fb->width;
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// uint16_t y = floor( (i / 3) / fb->width);
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}
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// find the average values for each colour over entire image
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