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IDF release/v5.3 (#10444)

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* IDF release/v5.3 707d097b

* fix(camera): Remove support for face detection and recognition
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Me No Dev 2024-10-10 17:22:39 +03:00 committed by GitHub
parent ba9a3a1dbd
commit af4099202d
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GPG key ID: B5690EEEBB952194
2 changed files with 37 additions and 515 deletions
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482
libraries/ESP32/examples/Camera/CameraWebServer/app_httpd.cpp
View file

@ -24,55 +24,6 @@
#include "esp32-hal-log.h"
#endif
// Face Detection will not work on boards without (or with disabled) PSRAM
#ifdef BOARD_HAS_PSRAM
// Face Recognition takes upward from 15 seconds per frame on chips other than ESP32S3
// Makes no sense to have it enabled for them
#if CONFIG_IDF_TARGET_ESP32S3
#define CONFIG_ESP_FACE_RECOGNITION_ENABLED 1
#define CONFIG_ESP_FACE_DETECT_ENABLED 1
#else
#define CONFIG_ESP_FACE_RECOGNITION_ENABLED 0
#define CONFIG_ESP_FACE_DETECT_ENABLED 0
#endif
#else
#define CONFIG_ESP_FACE_DETECT_ENABLED 0
#define CONFIG_ESP_FACE_RECOGNITION_ENABLED 0
#endif
#if CONFIG_ESP_FACE_DETECT_ENABLED
#include <vector>
#include "human_face_detect_msr01.hpp"
#include "human_face_detect_mnp01.hpp"
#define TWO_STAGE 1 /*<! 1: detect by two-stage which is more accurate but slower(with keypoints). */
/*<! 0: detect by one-stage which is less accurate but faster(without keypoints). */
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
#pragma GCC diagnostic ignored "-Wformat"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "face_recognition_tool.hpp"
#include "face_recognition_112_v1_s16.hpp"
#include "face_recognition_112_v1_s8.hpp"
#pragma GCC diagnostic error "-Wformat"
#pragma GCC diagnostic warning "-Wstrict-aliasing"
#define QUANT_TYPE 0 //if set to 1 => very large firmware, very slow, reboots when streaming...
#define FACE_ID_SAVE_NUMBER 7
#endif
#define FACE_COLOR_WHITE 0x00FFFFFF
#define FACE_COLOR_BLACK 0x00000000
#define FACE_COLOR_RED 0x000000FF
#define FACE_COLOR_GREEN 0x0000FF00
#define FACE_COLOR_BLUE 0x00FF0000
#define FACE_COLOR_YELLOW (FACE_COLOR_RED | FACE_COLOR_GREEN)
#define FACE_COLOR_CYAN (FACE_COLOR_BLUE | FACE_COLOR_GREEN)
#define FACE_COLOR_PURPLE (FACE_COLOR_BLUE | FACE_COLOR_RED)
#endif
// Enable LED FLASH setting
#define CONFIG_LED_ILLUMINATOR_ENABLED 1
@ -100,32 +51,6 @@ static const char *_STREAM_PART = "Content-Type: image/jpeg\r\nContent-Length: %
httpd_handle_t stream_httpd = NULL;
httpd_handle_t camera_httpd = NULL;
#if CONFIG_ESP_FACE_DETECT_ENABLED
static int8_t detection_enabled = 0;
// #if TWO_STAGE
// static HumanFaceDetectMSR01 s1(0.1F, 0.5F, 10, 0.2F);
// static HumanFaceDetectMNP01 s2(0.5F, 0.3F, 5);
// #else
// static HumanFaceDetectMSR01 s1(0.3F, 0.5F, 10, 0.2F);
// #endif
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
static int8_t recognition_enabled = 0;
static int8_t is_enrolling = 0;
#if QUANT_TYPE
// S16 model
FaceRecognition112V1S16 recognizer;
#else
// S8 model
FaceRecognition112V1S8 recognizer;
#endif
#endif
#endif
typedef struct {
size_t size; //number of values used for filtering
size_t index; //current value index
@ -166,105 +91,6 @@ static int ra_filter_run(ra_filter_t *filter, int value) {
}
#endif
#if CONFIG_ESP_FACE_DETECT_ENABLED
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
static void rgb_print(fb_data_t *fb, uint32_t color, const char *str) {
fb_gfx_print(fb, (fb->width - (strlen(str) * 14)) / 2, 10, color, str);
}
static int rgb_printf(fb_data_t *fb, uint32_t color, const char *format, ...) {
char loc_buf[64];
char *temp = loc_buf;
int len;
va_list arg;
va_list copy;
va_start(arg, format);
va_copy(copy, arg);
len = vsnprintf(loc_buf, sizeof(loc_buf), format, arg);
va_end(copy);
if (len >= sizeof(loc_buf)) {
temp = (char *)malloc(len + 1);
if (temp == NULL) {
return 0;
}
}
vsnprintf(temp, len + 1, format, arg);
va_end(arg);
rgb_print(fb, color, temp);
if (len > 64) {
free(temp);
}
return len;
}
#endif
static void draw_face_boxes(fb_data_t *fb, std::list<dl::detect::result_t> *results, int face_id) {
int x, y, w, h;
uint32_t color = FACE_COLOR_YELLOW;
if (face_id < 0) {
color = FACE_COLOR_RED;
} else if (face_id > 0) {
color = FACE_COLOR_GREEN;
}
if (fb->bytes_per_pixel == 2) {
//color = ((color >> 8) & 0xF800) | ((color >> 3) & 0x07E0) | (color & 0x001F);
color = ((color >> 16) & 0x001F) | ((color >> 3) & 0x07E0) | ((color << 8) & 0xF800);
}
int i = 0;
for (std::list<dl::detect::result_t>::iterator prediction = results->begin(); prediction != results->end(); prediction++, i++) {
// rectangle box
x = (int)prediction->box[0];
y = (int)prediction->box[1];
w = (int)prediction->box[2] - x + 1;
h = (int)prediction->box[3] - y + 1;
if ((x + w) > fb->width) {
w = fb->width - x;
}
if ((y + h) > fb->height) {
h = fb->height - y;
}
fb_gfx_drawFastHLine(fb, x, y, w, color);
fb_gfx_drawFastHLine(fb, x, y + h - 1, w, color);
fb_gfx_drawFastVLine(fb, x, y, h, color);
fb_gfx_drawFastVLine(fb, x + w - 1, y, h, color);
#if TWO_STAGE
// landmarks (left eye, mouth left, nose, right eye, mouth right)
int x0, y0, j;
for (j = 0; j < 10; j += 2) {
x0 = (int)prediction->keypoint[j];
y0 = (int)prediction->keypoint[j + 1];
fb_gfx_fillRect(fb, x0, y0, 3, 3, color);
}
#endif
}
}
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
static int run_face_recognition(fb_data_t *fb, std::list<dl::detect::result_t> *results) {
std::vector<int> landmarks = results->front().keypoint;
int id = -1;
Tensor<uint8_t> tensor;
tensor.set_element((uint8_t *)fb->data).set_shape({fb->height, fb->width, 3}).set_auto_free(false);
int enrolled_count = recognizer.get_enrolled_id_num();
if (enrolled_count < FACE_ID_SAVE_NUMBER && is_enrolling) {
id = recognizer.enroll_id(tensor, landmarks, "", true);
log_i("Enrolled ID: %d", id);
rgb_printf(fb, FACE_COLOR_CYAN, "ID[%u]", id);
}
face_info_t recognize = recognizer.recognize(tensor, landmarks);
if (recognize.id >= 0) {
rgb_printf(fb, FACE_COLOR_GREEN, "ID[%u]: %.2f", recognize.id, recognize.similarity);
} else {
rgb_print(fb, FACE_COLOR_RED, "Intruder Alert!");
}
return recognize.id;
}
#endif
#endif
#if CONFIG_LED_ILLUMINATOR_ENABLED
void enable_led(bool en) { // Turn LED On or Off
int duty = en ? led_duty : 0;
@ -359,16 +185,6 @@ static esp_err_t capture_handler(httpd_req_t *req) {
snprintf(ts, 32, "%lld.%06ld", fb->timestamp.tv_sec, fb->timestamp.tv_usec);
httpd_resp_set_hdr(req, "X-Timestamp", (const char *)ts);
#if CONFIG_ESP_FACE_DETECT_ENABLED
size_t out_len, out_width, out_height;
uint8_t *out_buf;
bool s;
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
bool detected = false;
#endif
int face_id = 0;
if (!detection_enabled || fb->width > 400) {
#endif
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
size_t fb_len = 0;
#endif
@ -391,102 +207,6 @@ static esp_err_t capture_handler(httpd_req_t *req) {
#endif
log_i("JPG: %uB %ums", (uint32_t)(fb_len), (uint32_t)((fr_end - fr_start) / 1000));
return res;
#if CONFIG_ESP_FACE_DETECT_ENABLED
}
jpg_chunking_t jchunk = {req, 0};
if (fb->format == PIXFORMAT_RGB565
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
&& !recognition_enabled
#endif
) {
#if TWO_STAGE
HumanFaceDetectMSR01 s1(0.1F, 0.5F, 10, 0.2F);
HumanFaceDetectMNP01 s2(0.5F, 0.3F, 5);
std::list<dl::detect::result_t> &candidates = s1.infer((uint16_t *)fb->buf, {(int)fb->height, (int)fb->width, 3});
std::list<dl::detect::result_t> &results = s2.infer((uint16_t *)fb->buf, {(int)fb->height, (int)fb->width, 3}, candidates);
#else
HumanFaceDetectMSR01 s1(0.3F, 0.5F, 10, 0.2F);
std::list<dl::detect::result_t> &results = s1.infer((uint16_t *)fb->buf, {(int)fb->height, (int)fb->width, 3});
#endif
if (results.size() > 0) {
fb_data_t rfb;
rfb.width = fb->width;
rfb.height = fb->height;
rfb.data = fb->buf;
rfb.bytes_per_pixel = 2;
rfb.format = FB_RGB565;
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
detected = true;
#endif
draw_face_boxes(&rfb, &results, face_id);
}
s = fmt2jpg_cb(fb->buf, fb->len, fb->width, fb->height, PIXFORMAT_RGB565, 90, jpg_encode_stream, &jchunk);
esp_camera_fb_return(fb);
} else {
out_len = fb->width * fb->height * 3;
out_width = fb->width;
out_height = fb->height;
out_buf = (uint8_t *)malloc(out_len);
if (!out_buf) {
log_e("out_buf malloc failed");
httpd_resp_send_500(req);
return ESP_FAIL;
}
s = fmt2rgb888(fb->buf, fb->len, fb->format, out_buf);
esp_camera_fb_return(fb);
if (!s) {
free(out_buf);
log_e("To rgb888 failed");
httpd_resp_send_500(req);
return ESP_FAIL;
}
fb_data_t rfb;
rfb.width = out_width;
rfb.height = out_height;
rfb.data = out_buf;
rfb.bytes_per_pixel = 3;
rfb.format = FB_BGR888;
#if TWO_STAGE
HumanFaceDetectMSR01 s1(0.1F, 0.5F, 10, 0.2F);
HumanFaceDetectMNP01 s2(0.5F, 0.3F, 5);
std::list<dl::detect::result_t> &candidates = s1.infer((uint8_t *)out_buf, {(int)out_height, (int)out_width, 3});
std::list<dl::detect::result_t> &results = s2.infer((uint8_t *)out_buf, {(int)out_height, (int)out_width, 3}, candidates);
#else
HumanFaceDetectMSR01 s1(0.3F, 0.5F, 10, 0.2F);
std::list<dl::detect::result_t> &results = s1.infer((uint8_t *)out_buf, {(int)out_height, (int)out_width, 3});
#endif
if (results.size() > 0) {
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
detected = true;
#endif
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
if (recognition_enabled) {
face_id = run_face_recognition(&rfb, &results);
}
#endif
draw_face_boxes(&rfb, &results, face_id);
}
s = fmt2jpg_cb(out_buf, out_len, out_width, out_height, PIXFORMAT_RGB888, 90, jpg_encode_stream, &jchunk);
free(out_buf);
}
if (!s) {
log_e("JPEG compression failed");
httpd_resp_send_500(req);
return ESP_FAIL;
}
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
int64_t fr_end = esp_timer_get_time();
#endif
log_i("FACE: %uB %ums %s%d", (uint32_t)(jchunk.len), (uint32_t)((fr_end - fr_start) / 1000), detected ? "DETECTED " : "", face_id);
return res;
#endif
}
static esp_err_t stream_handler(httpd_req_t *req) {
@ -496,26 +216,6 @@ static esp_err_t stream_handler(httpd_req_t *req) {
size_t _jpg_buf_len = 0;
uint8_t *_jpg_buf = NULL;
char *part_buf[128];
#if CONFIG_ESP_FACE_DETECT_ENABLED
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
bool detected = false;
int64_t fr_ready = 0;
int64_t fr_recognize = 0;
int64_t fr_encode = 0;
int64_t fr_face = 0;
int64_t fr_start = 0;
#endif
int face_id = 0;
size_t out_len = 0, out_width = 0, out_height = 0;
uint8_t *out_buf = NULL;
bool s = false;
#if TWO_STAGE
HumanFaceDetectMSR01 s1(0.1F, 0.5F, 10, 0.2F);
HumanFaceDetectMNP01 s2(0.5F, 0.3F, 5);
#else
HumanFaceDetectMSR01 s1(0.3F, 0.5F, 10, 0.2F);
#endif
#endif
static int64_t last_frame = 0;
if (!last_frame) {
@ -536,13 +236,6 @@ static esp_err_t stream_handler(httpd_req_t *req) {
#endif
while (true) {
#if CONFIG_ESP_FACE_DETECT_ENABLED
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
detected = false;
#endif
face_id = 0;
#endif
fb = esp_camera_fb_get();
if (!fb) {
log_e("Camera capture failed");
@ -550,16 +243,6 @@ static esp_err_t stream_handler(httpd_req_t *req) {
} else {
_timestamp.tv_sec = fb->timestamp.tv_sec;
_timestamp.tv_usec = fb->timestamp.tv_usec;
#if CONFIG_ESP_FACE_DETECT_ENABLED
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_start = esp_timer_get_time();
fr_ready = fr_start;
fr_encode = fr_start;
fr_recognize = fr_start;
fr_face = fr_start;
#endif
if (!detection_enabled || fb->width > 400) {
#endif
if (fb->format != PIXFORMAT_JPEG) {
bool jpeg_converted = frame2jpg(fb, 80, &_jpg_buf, &_jpg_buf_len);
esp_camera_fb_return(fb);
@ -572,116 +255,6 @@ static esp_err_t stream_handler(httpd_req_t *req) {
_jpg_buf_len = fb->len;
_jpg_buf = fb->buf;
}
#if CONFIG_ESP_FACE_DETECT_ENABLED
} else {
if (fb->format == PIXFORMAT_RGB565
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
&& !recognition_enabled
#endif
) {
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_ready = esp_timer_get_time();
#endif
#if TWO_STAGE
std::list<dl::detect::result_t> &candidates = s1.infer((uint16_t *)fb->buf, {(int)fb->height, (int)fb->width, 3});
std::list<dl::detect::result_t> &results = s2.infer((uint16_t *)fb->buf, {(int)fb->height, (int)fb->width, 3}, candidates);
#else
std::list<dl::detect::result_t> &results = s1.infer((uint16_t *)fb->buf, {(int)fb->height, (int)fb->width, 3});
#endif
#if CONFIG_ESP_FACE_DETECT_ENABLED && ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_face = esp_timer_get_time();
fr_recognize = fr_face;
#endif
if (results.size() > 0) {
fb_data_t rfb;
rfb.width = fb->width;
rfb.height = fb->height;
rfb.data = fb->buf;
rfb.bytes_per_pixel = 2;
rfb.format = FB_RGB565;
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
detected = true;
#endif
draw_face_boxes(&rfb, &results, face_id);
}
s = fmt2jpg(fb->buf, fb->len, fb->width, fb->height, PIXFORMAT_RGB565, 80, &_jpg_buf, &_jpg_buf_len);
esp_camera_fb_return(fb);
fb = NULL;
if (!s) {
log_e("fmt2jpg failed");
res = ESP_FAIL;
}
#if CONFIG_ESP_FACE_DETECT_ENABLED && ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_encode = esp_timer_get_time();
#endif
} else {
out_len = fb->width * fb->height * 3;
out_width = fb->width;
out_height = fb->height;
out_buf = (uint8_t *)malloc(out_len);
if (!out_buf) {
log_e("out_buf malloc failed");
res = ESP_FAIL;
} else {
s = fmt2rgb888(fb->buf, fb->len, fb->format, out_buf);
esp_camera_fb_return(fb);
fb = NULL;
if (!s) {
free(out_buf);
log_e("To rgb888 failed");
res = ESP_FAIL;
} else {
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_ready = esp_timer_get_time();
#endif
fb_data_t rfb;
rfb.width = out_width;
rfb.height = out_height;
rfb.data = out_buf;
rfb.bytes_per_pixel = 3;
rfb.format = FB_BGR888;
#if TWO_STAGE
std::list<dl::detect::result_t> &candidates = s1.infer((uint8_t *)out_buf, {(int)out_height, (int)out_width, 3});
std::list<dl::detect::result_t> &results = s2.infer((uint8_t *)out_buf, {(int)out_height, (int)out_width, 3}, candidates);
#else
std::list<dl::detect::result_t> &results = s1.infer((uint8_t *)out_buf, {(int)out_height, (int)out_width, 3});
#endif
#if CONFIG_ESP_FACE_DETECT_ENABLED && ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_face = esp_timer_get_time();
fr_recognize = fr_face;
#endif
if (results.size() > 0) {
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
detected = true;
#endif
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
if (recognition_enabled) {
face_id = run_face_recognition(&rfb, &results);
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_recognize = esp_timer_get_time();
#endif
}
#endif
draw_face_boxes(&rfb, &results, face_id);
}
s = fmt2jpg(out_buf, out_len, out_width, out_height, PIXFORMAT_RGB888, 90, &_jpg_buf, &_jpg_buf_len);
free(out_buf);
if (!s) {
log_e("fmt2jpg failed");
res = ESP_FAIL;
}
#if CONFIG_ESP_FACE_DETECT_ENABLED && ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
fr_encode = esp_timer_get_time();
#endif
}
}
}
}
#endif
}
if (res == ESP_OK) {
res = httpd_resp_send_chunk(req, _STREAM_BOUNDARY, strlen(_STREAM_BOUNDARY));
@ -707,30 +280,14 @@ static esp_err_t stream_handler(httpd_req_t *req) {
}
int64_t fr_end = esp_timer_get_time();
#if CONFIG_ESP_FACE_DETECT_ENABLED && ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
int64_t ready_time = (fr_ready - fr_start) / 1000;
int64_t face_time = (fr_face - fr_ready) / 1000;
int64_t recognize_time = (fr_recognize - fr_face) / 1000;
int64_t encode_time = (fr_encode - fr_recognize) / 1000;
int64_t process_time = (fr_encode - fr_start) / 1000;
#endif
int64_t frame_time = fr_end - last_frame;
frame_time /= 1000;
#if ARDUHAL_LOG_LEVEL >= ARDUHAL_LOG_LEVEL_INFO
uint32_t avg_frame_time = ra_filter_run(&ra_filter, frame_time);
#endif
log_i(
"MJPG: %uB %ums (%.1ffps), AVG: %ums (%.1ffps)"
#if CONFIG_ESP_FACE_DETECT_ENABLED
", %u+%u+%u+%u=%u %s%d"
#endif
,
(uint32_t)(_jpg_buf_len), (uint32_t)frame_time, 1000.0 / (uint32_t)frame_time, avg_frame_time, 1000.0 / avg_frame_time
#if CONFIG_ESP_FACE_DETECT_ENABLED
,
(uint32_t)ready_time, (uint32_t)face_time, (uint32_t)recognize_time, (uint32_t)encode_time, (uint32_t)process_time, (detected) ? "DETECTED " : "", face_id
#endif
"MJPG: %uB %ums (%.1ffps), AVG: %ums (%.1ffps)", (uint32_t)(_jpg_buf_len), (uint32_t)frame_time, 1000.0 / (uint32_t)frame_time, avg_frame_time,
1000.0 / avg_frame_time
);
}
@ -841,28 +398,6 @@ static esp_err_t cmd_handler(httpd_req_t *req) {
enable_led(true);
}
}
#endif
#if CONFIG_ESP_FACE_DETECT_ENABLED
else if (!strcmp(variable, "face_detect")) {
detection_enabled = val;
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
if (!detection_enabled) {
recognition_enabled = 0;
}
#endif
}
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
else if (!strcmp(variable, "face_enroll")) {
is_enrolling = !is_enrolling;
log_i("Enrolling: %s", is_enrolling ? "true" : "false");
} else if (!strcmp(variable, "face_recognize")) {
recognition_enabled = val;
if (recognition_enabled) {
detection_enabled = val;
}
}
#endif
#endif
else {
log_i("Unknown command: %s", variable);
@ -947,13 +482,6 @@ static esp_err_t status_handler(httpd_req_t *req) {
p += sprintf(p, ",\"led_intensity\":%u", led_duty);
#else
p += sprintf(p, ",\"led_intensity\":%d", -1);
#endif
#if CONFIG_ESP_FACE_DETECT_ENABLED
p += sprintf(p, ",\"face_detect\":%u", detection_enabled);
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
p += sprintf(p, ",\"face_enroll\":%u,", is_enrolling);
p += sprintf(p, "\"face_recognize\":%u", recognition_enabled);
#endif
#endif
*p++ = '}';
*p++ = 0;
@ -1289,12 +817,6 @@ void startCameraServer() {
ra_filter_init(&ra_filter, 20);
#if CONFIG_ESP_FACE_RECOGNITION_ENABLED
recognizer.set_partition(ESP_PARTITION_TYPE_DATA, ESP_PARTITION_SUBTYPE_ANY, "fr");
// load ids from flash partition
recognizer.set_ids_from_flash();
#endif
log_i("Starting web server on port: '%d'", config.server_port);
if (httpd_start(&camera_httpd, &config) == ESP_OK) {
httpd_register_uri_handler(camera_httpd, &index_uri);

32
package/package_esp32_index.template.json
View file

@ -101,57 +101,57 @@
"host": "i686-mingw32",
"url": "https://github.com/espressif/esp32-arduino-lib-builder/releases/download/idf-release_v5.3/esp32-arduino-libs-idf-release_v5.3-707d097b.zip",
"archiveFileName": "esp32-arduino-libs-idf-release_v5.3-707d097b.zip",
"checksum": "SHA-256:f8624bf7eab91e0a3bb3be4cc385fef5a05a725bc6ff978f3d4e2562f2805b1e",
"size": "399729605"
"checksum": "SHA-256:b4d431c8e6e9eb26c78cb187b9082055544956a4dac8e224ff884f770e5f0e5a",
"size": "351074410"
},
{
"host": "x86_64-mingw32",
"url": "https://github.com/espressif/esp32-arduino-lib-builder/releases/download/idf-release_v5.3/esp32-arduino-libs-idf-release_v5.3-707d097b.zip",
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{
"host": "arm64-apple-darwin",
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{
"host": "x86_64-apple-darwin",
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{
"host": "x86_64-pc-linux-gnu",
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{
"host": "i686-pc-linux-gnu",
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{
"host": "aarch64-linux-gnu",
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{
"host": "arm-linux-gnueabihf",
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