HID Mouse Emulation using ESP32
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Hi all,
I am trying to make an application where I would like to emulate a mouse when I plug my device to the computer through a USB cable. I've seen applications where ESP32 pairs with the computer through Bluetooth and emulates the mouse. But I only want to use emulation through the wire.
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ESP32 doesn't have any native USB support right?
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@salmanfaris I guess no, it doesn't have.
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@kowshik1729 Then I think it will be difficult, here on this video https://www.youtube.com/watch?v=po3FBdY0GS4 , bitluni's lab used CH559 USB Host controller in order to use the USB HID Services.
Another possibility is Port V-SUB to ESP32, V-USB is a software-only implementation of a low-speed USB device for Atmel’s AVR microcontrollers
I found some Github repo's that contain BLE HID
Recent Posts
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• read moreHi @PumpedMedusa, The rage is depends on the Antenna and how much TX power you have.
To choose antenna, first you need figure out - where your nodes will be, take a look at the below image. The antenna act like a "torch" if you have more dbi that mean it's focus will be increase and it can reach more distance but the angle it have it less, like a laser.
also, obstacle such as buildings, tress and mountains will affect the signal and deplete it.
So, answer for you question - What is the best LoRa module to use for long distance network? - It's really depends on where you planning to put the nodes and how high you putting the gateway. Let me know know your thoughts.
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@Parves-DOMINO Did you able to solve the issue?
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@Parves-DOMINO Are you still facing the issue?
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P• read more
I am working on an object detection since 2 weeks. I have started the project by a testing object using edge impulse to create the library based on this object but when i compile the code i have an error
#include <Parvesdomino-project-IPT_inferencing.h> #include "edge-impulse-sdk/dsp/image/image.hpp" #include "esp_camera.h" // Select camera model - find more camera models in camera_pins.h file here // https://github.com/espressif/arduino-esp32/blob/master/libraries/ESP32/examples/Camera/CameraWebServer/camera_pins.h //#define CAMERA_MODEL_ESP_EYE // Has PSRAM #define CAMERA_MODEL_AI_THINKER // Has PSRAM #if defined(CAMERA_MODEL_ESP_EYE) #define PWDN_GPIO_NUM -1 #define RESET_GPIO_NUM -1 #define XCLK_GPIO_NUM 4 #define SIOD_GPIO_NUM 18 #define SIOC_GPIO_NUM 23 #define Y9_GPIO_NUM 36 #define Y8_GPIO_NUM 37 #define Y7_GPIO_NUM 38 #define Y6_GPIO_NUM 39 #define Y5_GPIO_NUM 35 #define Y4_GPIO_NUM 14 #define Y3_GPIO_NUM 13 #define Y2_GPIO_NUM 34 #define VSYNC_GPIO_NUM 5 #define HREF_GPIO_NUM 27 #define PCLK_GPIO_NUM 25 #elif defined(CAMERA_MODEL_AI_THINKER) #define PWDN_GPIO_NUM 32 #define RESET_GPIO_NUM -1 #define XCLK_GPIO_NUM 0 #define SIOD_GPIO_NUM 26 #define SIOC_GPIO_NUM 27 #define Y9_GPIO_NUM 35 #define Y8_GPIO_NUM 34 #define Y7_GPIO_NUM 39 #define Y6_GPIO_NUM 36 #define Y5_GPIO_NUM 21 #define Y4_GPIO_NUM 19 #define Y3_GPIO_NUM 18 #define Y2_GPIO_NUM 5 #define VSYNC_GPIO_NUM 25 #define HREF_GPIO_NUM 23 #define PCLK_GPIO_NUM 22 #else #error "Camera model not selected" #endif /* Constant defines -------------------------------------------------------- */ #define EI_CAMERA_RAW_FRAME_BUFFER_COLS 320 #define EI_CAMERA_RAW_FRAME_BUFFER_ROWS 240 #define EI_CAMERA_FRAME_BYTE_SIZE 3 /* Private variables ------------------------------------------------------- */ static bool debug_nn = false; // Set this to true to see e.g. features generated from the raw signal static bool is_initialised = false; uint8_t *snapshot_buf; //points to the output of the capture static camera_config_t camera_config = { .pin_pwdn = PWDN_GPIO_NUM, .pin_reset = RESET_GPIO_NUM, .pin_xclk = XCLK_GPIO_NUM, .pin_sscb_sda = SIOD_GPIO_NUM, .pin_sscb_scl = SIOC_GPIO_NUM, .pin_d7 = Y9_GPIO_NUM, .pin_d6 = Y8_GPIO_NUM, .pin_d5 = Y7_GPIO_NUM, .pin_d4 = Y6_GPIO_NUM, .pin_d3 = Y5_GPIO_NUM, .pin_d2 = Y4_GPIO_NUM, .pin_d1 = Y3_GPIO_NUM, .pin_d0 = Y2_GPIO_NUM, .pin_vsync = VSYNC_GPIO_NUM, .pin_href = HREF_GPIO_NUM, .pin_pclk = PCLK_GPIO_NUM, //XCLK 20MHz or 10MHz for OV2640 double FPS (Experimental) .xclk_freq_hz = 20000000, .ledc_timer = LEDC_TIMER_0, .ledc_channel = LEDC_CHANNEL_0, .pixel_format = PIXFORMAT_JPEG, //YUV422,GRAYSCALE,RGB565,JPEG .frame_size = FRAMESIZE_QVGA, //QQVGA-UXGA Do not use sizes above QVGA when not JPEG .jpeg_quality = 12, //0-63 lower number means higher quality .fb_count = 1, //if more than one, i2s runs in continuous mode. Use only with JPEG .fb_location = CAMERA_FB_IN_PSRAM, .grab_mode = CAMERA_GRAB_WHEN_EMPTY, }; /* Function definitions ------------------------------------------------------- */ bool ei_camera_init(void); void ei_camera_deinit(void); bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) ; /** * @brief Arduino setup function */ void setup() { // put your setup code here, to run once: Serial.begin(115200); //comment out the below line to start inference immediately after upload while (!Serial); Serial.println("Edge Impulse Inferencing Demo"); if (ei_camera_init() == false) { ei_printf("Failed to initialize Camera!\r\n"); } else { ei_printf("Camera initialized\r\n"); } ei_printf("\nStarting continious inference in 2 seconds...\n"); ei_sleep(2000); } /** * @brief Get data and run inferencing * * @param[in] debug Get debug info if true */ void loop() { // instead of wait_ms, we'll wait on the signal, this allows threads to cancel us... if (ei_sleep(5) != EI_IMPULSE_OK) { return; } snapshot_buf = (uint8_t*)malloc(EI_CAMERA_RAW_FRAME_BUFFER_COLS * EI_CAMERA_RAW_FRAME_BUFFER_ROWS * EI_CAMERA_FRAME_BYTE_SIZE); // check if allocation was successful if(snapshot_buf == nullptr) { ei_printf("ERR: Failed to allocate snapshot buffer!\n"); return; } ei::signal_t signal; signal.total_length = EI_CLASSIFIER_INPUT_WIDTH * EI_CLASSIFIER_INPUT_HEIGHT; signal.get_data = &ei_camera_get_data; if (ei_camera_capture((size_t)EI_CLASSIFIER_INPUT_WIDTH, (size_t)EI_CLASSIFIER_INPUT_HEIGHT, snapshot_buf) == false) { ei_printf("Failed to capture image\r\n"); free(snapshot_buf); return; } // Run the classifier ei_impulse_result_t result = { 0 }; EI_IMPULSE_ERROR err = run_classifier(&signal, &result, debug_nn); if (err != EI_IMPULSE_OK) { ei_printf("ERR: Failed to run classifier (%d)\n", err); return; } // print the predictions ei_printf("Predictions (DSP: %d ms., Classification: %d ms., Anomaly: %d ms.): \n", result.timing.dsp, result.timing.classification, result.timing.anomaly); #if EI_CLASSIFIER_OBJECT_DETECTION == 1 ei_printf("Object detection bounding boxes:\r\n"); for (uint32_t i = 0; i < result.bounding_boxes_count; i++) { ei_impulse_result_bounding_box_t bb = result.bounding_boxes[i]; if (bb.value == 0) { continue; } ei_printf(" %s (%f) [ x: %u, y: %u, width: %u, height: %u ]\r\n", bb.label, bb.value, bb.x, bb.y, bb.width, bb.height); } // Print the prediction results (classification) #else ei_printf("Predictions:\r\n"); for (uint16_t i = 0; i < EI_CLASSIFIER_LABEL_COUNT; i++) { ei_printf(" %s: ", ei_classifier_inferencing_categories[i]); ei_printf("%.5f\r\n", result.classification[i].value); } #endif // Print anomaly result (if it exists) #if EI_CLASSIFIER_HAS_ANOMALY ei_printf("Anomaly prediction: %.3f\r\n", result.anomaly); #endif #if EI_CLASSIFIER_HAS_VISUAL_ANOMALY ei_printf("Visual anomalies:\r\n"); for (uint32_t i = 0; i < result.visual_ad_count; i++) { ei_impulse_result_bounding_box_t bb = result.visual_ad_grid_cells[i]; if (bb.value == 0) { continue; } ei_printf(" %s (%f) [ x: %u, y: %u, width: %u, height: %u ]\r\n", bb.label, bb.value, bb.x, bb.y, bb.width, bb.height); } #endif free(snapshot_buf); } /** * @brief Setup image sensor & start streaming * * @retval false if initialisation failed */ bool ei_camera_init(void) { if (is_initialised) return true; #if defined(CAMERA_MODEL_ESP_EYE) pinMode(13, INPUT_PULLUP); pinMode(14, INPUT_PULLUP); #endif //initialize the camera esp_err_t err = esp_camera_init(&camera_config); if (err != ESP_OK) { Serial.printf("Camera init failed with error 0x%x\n", err); return false; } // sensor_t * s = esp_camera_sensor_get(); // initial sensors are flipped vertically and colors are a bit saturated //if (s->id.PID == OV3660_PID) { // s->set_vflip(s, 1); // flip it back // s->set_brightness(s, 1); // up the brightness just a bit // s->set_saturation(s, 0); // lower the saturation } #if defined(CAMERA_MODEL_M5STACK_WIDE) s->set_vflip(s, 1); s->set_hmirror(s, 1); #elif defined(CAMERA_MODEL_ESP_EYE) s->set_vflip(s, 1); s->set_hmirror(s, 1); s->set_awb_gain(s, 1); #endif is_initialised = true; return true; } /** * @brief Stop streaming of sensor data */ void ei_camera_deinit(void) { //deinitialize the camera esp_err_t err = esp_camera_deinit(); if (err != ESP_OK) { ei_printf("Camera deinit failed\n"); return; } is_initialised = false; return; } /** * @brief Capture, rescale and crop image * * @param[in] img_width width of output image * @param[in] img_height height of output image * @param[in] out_buf pointer to store output image, NULL may be used * if ei_camera_frame_buffer is to be used for capture and resize/cropping. * * @retval false if not initialised, image captured, rescaled or cropped failed * */ bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) { bool do_resize = false; if (!is_initialised) { ei_printf("ERR: Camera is not initialized\r\n"); return false; } camera_fb_t *fb = esp_camera_fb_get(); if (!fb) { ei_printf("Camera capture failed\n"); return false; } bool converted = fmt2rgb888(fb->buf, fb->len, PIXFORMAT_JPEG, snapshot_buf); esp_camera_fb_return(fb); if(!converted){ ei_printf("Conversion failed\n"); return false; } if ((img_width != EI_CAMERA_RAW_FRAME_BUFFER_COLS) || (img_height != EI_CAMERA_RAW_FRAME_BUFFER_ROWS)) { do_resize = true; } if (do_resize) { ei::image::processing::crop_and_interpolate_rgb888( out_buf, EI_CAMERA_RAW_FRAME_BUFFER_COLS, EI_CAMERA_RAW_FRAME_BUFFER_ROWS, out_buf, img_width, img_height); } return true; } static int ei_camera_get_data(size_t offset, size_t length, float *out_ptr) { // we already have a RGB888 buffer, so recalculate offset into pixel index size_t pixel_ix = offset * 3; size_t pixels_left = length; size_t out_ptr_ix = 0; while (pixels_left != 0) { // Swap BGR to RGB here // due to https://github.com/espressif/esp32-camera/issues/379 out_ptr[out_ptr_ix] = (snapshot_buf[pixel_ix + 2] << 16) + (snapshot_buf[pixel_ix + 1] << 8) + snapshot_buf[pixel_ix]; // go to the next pixel out_ptr_ix++; pixel_ix+=3; pixels_left--; } // and done! return 0; } #if !defined(EI_CLASSIFIER_SENSOR) || EI_CLASSIFIER_SENSOR != EI_CLASSIFIER_SENSOR_CAMERA #error "Invalid model for current sensor" #endif
That's the codeAnd here is the error:
C:\Users\HP\AppData\Local\Temp\.arduinoIDE-unsaved202486-9240-1p71wzh.ggfb\esp32_camera\esp32_camera.ino:382:2: error: #error "Invalid model for current sensor" 382 | #error "Invalid model for current sensor" | ^~~~~ exit status 1 Compilation error: #error "Invalid model for current sensor"Please help me to solve this.
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P• read more
I am working on an object detection since 2 weeks. I have started the project by a testing object using edge impulse to create the library based on this object but when i compile the code i have an error
That's the code:'''
#include <Parvesdomino-project-IPT_inferencing.h>
#include "edge-impulse-sdk/dsp/image/image.hpp"#include "esp_camera.h"
// Select camera model - find more camera models in camera_pins.h file here
// https://github.com/espressif/arduino-esp32/blob/master/libraries/ESP32/examples/Camera/CameraWebServer/camera_pins.h//#define CAMERA_MODEL_ESP_EYE // Has PSRAM
#define CAMERA_MODEL_AI_THINKER // Has PSRAM#if defined(CAMERA_MODEL_ESP_EYE)
#define PWDN_GPIO_NUM -1
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 4
#define SIOD_GPIO_NUM 18
#define SIOC_GPIO_NUM 23#define Y9_GPIO_NUM 36
#define Y8_GPIO_NUM 37
#define Y7_GPIO_NUM 38
#define Y6_GPIO_NUM 39
#define Y5_GPIO_NUM 35
#define Y4_GPIO_NUM 14
#define Y3_GPIO_NUM 13
#define Y2_GPIO_NUM 34
#define VSYNC_GPIO_NUM 5
#define HREF_GPIO_NUM 27
#define PCLK_GPIO_NUM 25#elif defined(CAMERA_MODEL_AI_THINKER)
#define PWDN_GPIO_NUM 32
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 0
#define SIOD_GPIO_NUM 26
#define SIOC_GPIO_NUM 27#define Y9_GPIO_NUM 35
#define Y8_GPIO_NUM 34
#define Y7_GPIO_NUM 39
#define Y6_GPIO_NUM 36
#define Y5_GPIO_NUM 21
#define Y4_GPIO_NUM 19
#define Y3_GPIO_NUM 18
#define Y2_GPIO_NUM 5
#define VSYNC_GPIO_NUM 25
#define HREF_GPIO_NUM 23
#define PCLK_GPIO_NUM 22#else
#error "Camera model not selected"
#endif/* Constant defines -------------------------------------------------------- */
#define EI_CAMERA_RAW_FRAME_BUFFER_COLS 320
#define EI_CAMERA_RAW_FRAME_BUFFER_ROWS 240
#define EI_CAMERA_FRAME_BYTE_SIZE 3/* Private variables ------------------------------------------------------- */
static bool debug_nn = false; // Set this to true to see e.g. features generated from the raw signal
static bool is_initialised = false;
uint8_t *snapshot_buf; //points to the output of the capturestatic camera_config_t camera_config = {
.pin_d7 = Y9_GPIO_NUM, .pin_d6 = Y8_GPIO_NUM, .pin_d5 = Y7_GPIO_NUM, .pin_d4 = Y6_GPIO_NUM, .pin_d3 = Y5_GPIO_NUM, .pin_d2 = Y4_GPIO_NUM, .pin_d1 = Y3_GPIO_NUM, .pin_d0 = Y2_GPIO_NUM, .pin_vsync = VSYNC_GPIO_NUM, .pin_href = HREF_GPIO_NUM, .pin_pclk = PCLK_GPIO_NUM, //XCLK 20MHz or 10MHz for OV2640 double FPS (Experimental) .xclk_freq_hz = 20000000, .ledc_timer = LEDC_TIMER_0, .ledc_channel = LEDC_CHANNEL_0, .pixel_format = PIXFORMAT_JPEG, //YUV422,GRAYSCALE,RGB565,JPEG .frame_size = FRAMESIZE_QVGA, //QQVGA-UXGA Do not use sizes above QVGA when not JPEG .jpeg_quality = 12, //0-63 lower number means higher quality .fb_count = 1, //if more than one, i2s runs in continuous mode. Use only with JPEG .fb_location = CAMERA_FB_IN_PSRAM, .grab_mode = CAMERA_GRAB_WHEN_EMPTY,
.pin_pwdn = PWDN_GPIO_NUM,
.pin_reset = RESET_GPIO_NUM,
.pin_xclk = XCLK_GPIO_NUM,
.pin_sscb_sda = SIOD_GPIO_NUM,
.pin_sscb_scl = SIOC_GPIO_NUM,};
/* Function definitions ------------------------------------------------------- */
bool ei_camera_init(void);
void ei_camera_deinit(void);
bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) ;/**
@brief Arduino setup function
*/
void setup()
{
// put your setup code here, to run once:
Serial.begin(115200);
//comment out the below line to start inference immediately after upload
while (!Serial);
Serial.println("Edge Impulse Inferencing Demo");
if (ei_camera_init() == false) {
ei_printf("Failed to initialize Camera!\r\n");
}
else {
ei_printf("Camera initialized\r\n");
}ei_printf("\nStarting continious inference in 2 seconds...\n");
ei_sleep(2000);
}/**
@brief Get data and run inferencing
@param[in] debug Get debug info if true
*/
void loop()
{// instead of wait_ms, we'll wait on the signal, this allows threads to cancel us...
if (ei_sleep(5) != EI_IMPULSE_OK) {
return;
}snapshot_buf = (uint8_t*)malloc(EI_CAMERA_RAW_FRAME_BUFFER_COLS * EI_CAMERA_RAW_FRAME_BUFFER_ROWS * EI_CAMERA_FRAME_BYTE_SIZE);
// check if allocation was successful
if(snapshot_buf == nullptr) {
ei_printf("ERR: Failed to allocate snapshot buffer!\n");
return;
}ei::signal_t signal;
signal.total_length = EI_CLASSIFIER_INPUT_WIDTH * EI_CLASSIFIER_INPUT_HEIGHT;
signal.get_data = &ei_camera_get_data;if (ei_camera_capture((size_t)EI_CLASSIFIER_INPUT_WIDTH, (size_t)EI_CLASSIFIER_INPUT_HEIGHT, snapshot_buf) == false) {
ei_printf("Failed to capture image\r\n");
free(snapshot_buf);
return;
}// Run the classifier
ei_impulse_result_t result = { 0 };EI_IMPULSE_ERROR err = run_classifier(&signal, &result, debug_nn);
if (err != EI_IMPULSE_OK) {
ei_printf("ERR: Failed to run classifier (%d)\n", err);
return;
}// print the predictions
ei_printf("Predictions (DSP: %d ms., Classification: %d ms., Anomaly: %d ms.): \n",
result.timing.dsp, result.timing.classification, result.timing.anomaly);#if EI_CLASSIFIER_OBJECT_DETECTION == 1
// Print the prediction results (classification)
ei_printf("Object detection bounding boxes:\r\n");
for (uint32_t i = 0; i < result.bounding_boxes_count; i++) {
ei_impulse_result_bounding_box_t bb = result.bounding_boxes[i];
if (bb.value == 0) {
continue;
}
ei_printf(" %s (%f) [ x: %u, y: %u, width: %u, height: %u ]\r\n",
bb.label,
bb.value,
bb.x,
bb.y,
bb.width,
bb.height);
}#else
// Print anomaly result (if it exists)
ei_printf("Predictions:\r\n");
for (uint16_t i = 0; i < EI_CLASSIFIER_LABEL_COUNT; i++) {
ei_printf(" %s: ", ei_classifier_inferencing_categories[i]);
ei_printf("%.5f\r\n", result.classification[i].value);
}
#endif#if EI_CLASSIFIER_HAS_ANOMALY
ei_printf("Anomaly prediction: %.3f\r\n", result.anomaly);
#endif#if EI_CLASSIFIER_HAS_VISUAL_ANOMALY
free(snapshot_buf);
ei_printf("Visual anomalies:\r\n");
for (uint32_t i = 0; i < result.visual_ad_count; i++) {
ei_impulse_result_bounding_box_t bb = result.visual_ad_grid_cells[i];
if (bb.value == 0) {
continue;
}
ei_printf(" %s (%f) [ x: %u, y: %u, width: %u, height: %u ]\r\n",
bb.label,
bb.value,
bb.x,
bb.y,
bb.width,
bb.height);
}
#endif}
/**
@brief Setup image sensor & start streaming
@retval false if initialisation failed
*/
bool ei_camera_init(void) {if (is_initialised) return true;
#if defined(CAMERA_MODEL_ESP_EYE)
//initialize the camera esp_err_t err = esp_camera_init(&camera_config); if (err != ESP_OK) { Serial.printf("Camera init failed with error 0x%x\n", err); return false; }
pinMode(13, INPUT_PULLUP);
pinMode(14, INPUT_PULLUP);
#endif// sensor_t * s = esp_camera_sensor_get();
// initial sensors are flipped vertically and colors are a bit saturated
//if (s->id.PID == OV3660_PID) {
// s->set_vflip(s, 1); // flip it back
// s->set_brightness(s, 1); // up the brightness just a bit
// s->set_saturation(s, 0); // lower the saturation
}#if defined(CAMERA_MODEL_M5STACK_WIDE)
is_initialised = true; return true;
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
#elif defined(CAMERA_MODEL_ESP_EYE)
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
s->set_awb_gain(s, 1);
#endif}
/**
@brief Stop streaming of sensor data
*/
void ei_camera_deinit(void) {//deinitialize the camera
esp_err_t err = esp_camera_deinit();if (err != ESP_OK)
{
ei_printf("Camera deinit failed\n");
return;
}is_initialised = false;
return;
}/**
@brief Capture, rescale and crop image @param[in] img_width width of output image @param[in] img_height height of output image @param[in] out_buf pointer to store output image, NULL may be used if ei_camera_frame_buffer is to be used for capture and resize/cropping. @retval false if not initialised, image captured, rescaled or cropped failed*/
if (!is_initialised) { ei_printf("ERR: Camera is not initialized\r\n"); return false; } camera_fb_t *fb = esp_camera_fb_get(); if (!fb) { ei_printf("Camera capture failed\n"); return false; }
bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) {
bool do_resize = false;bool converted = fmt2rgb888(fb->buf, fb->len, PIXFORMAT_JPEG, snapshot_buf);
esp_camera_fb_return(fb);
if(!converted){
if ((img_width != EI_CAMERA_RAW_FRAME_BUFFER_COLS) || (img_height != EI_CAMERA_RAW_FRAME_BUFFER_ROWS)) { do_resize = true; } if (do_resize) { ei::image::processing::crop_and_interpolate_rgb888( out_buf, EI_CAMERA_RAW_FRAME_BUFFER_COLS, EI_CAMERA_RAW_FRAME_BUFFER_ROWS, out_buf, img_width, img_height); } return true;
ei_printf("Conversion failed\n");
return false;
}}
static int ei_camera_get_data(size_t offset, size_t length, float *out_ptr)
while (pixels_left != 0) { // Swap BGR to RGB here // due to https://github.com/espressif/esp32-camera/issues/379 out_ptr[out_ptr_ix] = (snapshot_buf[pixel_ix + 2] << 16) + (snapshot_buf[pixel_ix + 1] << 8) + snapshot_buf[pixel_ix]; // go to the next pixel out_ptr_ix++; pixel_ix+=3; pixels_left--; } // and done! return 0;
{
// we already have a RGB888 buffer, so recalculate offset into pixel index
size_t pixel_ix = offset * 3;
size_t pixels_left = length;
size_t out_ptr_ix = 0;}
#if !defined(EI_CLASSIFIER_SENSOR) || EI_CLASSIFIER_SENSOR != EI_CLASSIFIER_SENSOR_CAMERA
#error "Invalid model for current sensor"
#endif
'''and here is the error
'''
C:\Users\HP\AppData\Local\Temp.arduinoIDE-unsaved202486-9240-1p71wzh.ggfb\esp32_camera\esp32_camera.ino:382:2: error: #error "Invalid model for current sensor"
382 | #error "Invalid model for current sensor"
| ^~~~~
exit status 1Compilation error: #error "Invalid model for current sensor"
'''