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Still based on my project image recognition system that can analyze images of tissue samples, identify malignancies, and predict possible symptoms and causes. How do i implement real-time inference and display predictions on the `LCD` or send data to the cloud? Cause my Inference latency is too high for real-time application, what’s the best way to implement this to ensure that Inference time does not remains above acceptable thresholds for real-time use.
“`c++
#include “esp_camera.h”
#include “TensorFlowLite.h”
#include
#define LED_PIN 4
void capture_image() {
camera_fb_t *fb = esp_camera_fb_get();
if (!fb) {
Serial.println(“Camera capture failed”);
return;
}
Serial.println(“Image captured successfully”);
}
void preprocess_image() {
Serial.println(“Preprocessing image…”);
}
float run_model_inference() {
Serial.println(“Loading model…”);
float prediction = 0.85;
Serial.println(“Running inference…”);
return prediction;
}
void display_prediction(float prediction) {
Serial.print(“Prediction: “);
Serial.println(prediction);
if (prediction > 0.5) {
digitalWrite(LED_PIN, HIGH);
Serial.println(“Malignant tissue detected.”);
} else {
digitalWrite(LED_PIN, LOW);
Serial.println(“No malignant tissue detected.”);
}
}
void setup() {
Serial.begin(115200);
camera_config_t config;
config.ledc_channel = LEDC_CHANNEL_0;
config.ledc_timer = LEDC_TIMER_0;
config.pin_d0 = Y2_GPIO_NUM;
config.pin_d1 = Y3_GPIO_NUM;
config.pin_d2 = Y4_GPIO_NUM;
config.pin_d3 = Y5_GPIO_NUM;
config.pin_d4 = Y6_GPIO_NUM;
config.pin_d5 = Y7_GPIO_NUM;
config.pin_d6 = Y8_GPIO_NUM;
config.pin_d7 = Y9_GPIO_NUM;
config.pin_xclk = XCLK_GPIO_NUM;
config.pin_pclk = PCLK_GPIO_NUM;
config.pin_vsync = VSYNC_GPIO_NUM;
config.pin_href = HREF_GPIO_NUM;
config.pin_sscb_sda = SIOD_GPIO_NUM;
config.pin_sscb_scl = SIOC_GPIO_NUM;
config.pin_pwdn = PWDN_GPIO_NUM;
config.pin_reset = RESET_GPIO_NUM;
config.xclk_freq_hz = 20000000;
config.pixel_format = PIXFORMAT_JPEG;
config.frame_size = FRAMESIZE_QVGA;
config.jpeg_quality = 10;
config.fb_count = 1;
if (esp_camera_init(&config) != ESP_OK) {
Serial.println(“Camera init failed”);
return;
}
pinMode(LED_PIN, OUTPUT);
}
void loop() {
run_inference();
delay(5000);
}
“`
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