T265 record manual exposure control, compare calib script
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077af5937f
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@ -103,6 +103,8 @@ class RsT265Device {
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int skip_frames;
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int webp_quality;
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int frame_counter = 0;
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Eigen::deque<RsIMUData> gyro_data_queue;
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std::shared_ptr<RsIMUData> prev_accel_data;
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@ -111,6 +113,7 @@ class RsT265Device {
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rs2::context context;
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rs2::config config;
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rs2::pipeline pipe;
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rs2::sensor sensor;
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rs2::pipeline_profile profile;
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};
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@ -0,0 +1,97 @@
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#!/usr/bin/env python3
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import argparse
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import json
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import numpy as np
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from scipy.spatial.transform import Rotation
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def print_abs_rel(info, v_0, v_1):
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diff = np.abs(np.linalg.norm(v_0 - v_1))
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out = f'{info}:\t{diff:.5f}'
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if diff < 10e-7:
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out += ' (0.0%)'
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else:
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out += f' ({diff / (np.abs(np.linalg.norm(v_0)) * 100.0):.7f}%)'
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print(out)
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def main(calib_path_1, calib_path_2):
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with open(calib_path_1, 'r') as c_1, open(calib_path_2, 'r') as c_2:
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calib0 = json.load(c_1)
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calib1 = json.load(c_2)
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for i, (t_imu_cam_0, t_imu_cam_1) in enumerate(
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zip(calib0['value0']['T_imu_cam'], calib1['value0']['T_imu_cam'])):
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print(f'\nCamera {i} transformation differences')
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t_0 = np.array(list(t_imu_cam_0.values())[0:2])
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t_1 = np.array(list(t_imu_cam_1.values())[0:2])
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r_0 = Rotation(list(t_imu_cam_0.values())[3:7])
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r_1 = Rotation(list(t_imu_cam_1.values())[3:7])
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print_abs_rel(f'Transformation', t_0, t_1)
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print_abs_rel(f'Rotation', r_0.as_rotvec(), r_1.as_rotvec())
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for i, (intrinsics0, intrinsics1) in enumerate(
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zip(calib0['value0']['intrinsics'], calib1['value0']['intrinsics'])):
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print(f'\nCamera {i} intrinsics differences')
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for (
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k_0, v_0), (_, v_1) in zip(
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intrinsics0['intrinsics'].items(), intrinsics1['intrinsics'].items()):
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print_abs_rel(f'Difference for {k_0}', v_0, v_1)
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print_abs_rel('\nAccel Bias Difference',
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np.array(calib0['value0']['calib_accel_bias'][0:2]),
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np.array(calib1['value0']['calib_accel_bias'][0:2]))
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print_abs_rel('Accel Scale Difference',
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np.array(calib0['value0']['calib_accel_bias'][3:9]),
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np.array(calib1['value0']['calib_accel_bias'][3:9]))
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print_abs_rel('Gyro Bias Difference',
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np.array(calib0['value0']['calib_gyro_bias'][0:2]),
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np.array(calib1['value0']['calib_gyro_bias'][0:2]))
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print_abs_rel('Gyro Scale Difference',
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np.array(calib0['value0']['calib_gyro_bias'][3:12]),
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np.array(calib1['value0']['calib_gyro_bias'][3:12]))
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print_abs_rel(
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'\nAccel Noise Std Difference',
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calib0['value0']['accel_noise_std'],
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calib1['value0']['accel_noise_std'])
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print_abs_rel(
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'Gyro Noise Std Difference',
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calib0['value0']['gyro_noise_std'],
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calib1['value0']['gyro_noise_std'])
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print_abs_rel(
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'Accel Bias Std Difference',
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calib0['value0']['accel_bias_std'],
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calib1['value0']['accel_bias_std'])
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print_abs_rel(
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'Gyro Bias Std Difference',
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calib0['value0']['gyro_bias_std'],
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calib1['value0']['gyro_bias_std'])
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print_abs_rel(
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'\nCam Time Offset Difference',
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calib0['value0']['cam_time_offset_ns'],
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calib0['value0']['cam_time_offset_ns'])
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def create_parser():
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parser = argparse.ArgumentParser()
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parser.add_argument('calib_path_1')
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parser.add_argument('calib_path_2')
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return parser
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if __name__ == '__main__':
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args = create_parser().parse_args()
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main(args.calib_path_1, args.calib_path_2)
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@ -70,15 +70,15 @@ RsT265Device::RsT265Device(bool manual_exposure, int skip_frames,
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}
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}
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if (manual_exposure) {
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auto device = context.query_devices()[0];
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std::cout << "Device " << device.get_info(RS2_CAMERA_INFO_NAME)
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<< " connected" << std::endl;
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auto sens = device.query_sensors()[0];
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auto device = context.query_devices()[0];
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std::cout << "Device " << device.get_info(RS2_CAMERA_INFO_NAME)
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<< " connected" << std::endl;
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sensor = device.query_sensors()[0];
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if (manual_exposure) {
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std::cout << "Enabling manual exposure control" << std::endl;
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sens.set_option(rs2_option::RS2_OPTION_ENABLE_AUTO_EXPOSURE, 0);
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sens.set_option(rs2_option::RS2_OPTION_EXPOSURE, exposure_value * 1000);
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sensor.set_option(rs2_option::RS2_OPTION_ENABLE_AUTO_EXPOSURE, 0);
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sensor.set_option(rs2_option::RS2_OPTION_EXPOSURE, exposure_value * 1000);
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}
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}
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@ -153,6 +153,8 @@ void RsT265Device::start() {
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}
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}
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} else if (auto fs = frame.as<rs2::frameset>()) {
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if (frame_counter++ % skip_frames != 0) return;
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OpticalFlowInput::Ptr data(new OpticalFlowInput);
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data->img_data.resize(NUM_CAMS);
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@ -214,9 +216,7 @@ void RsT265Device::stop() {
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bool RsT265Device::setExposure(double exposure) {
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if (!manual_exposure) return false;
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auto device = context.query_devices()[0];
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auto sens = device.query_sensors()[0];
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sens.set_option(rs2_option::RS2_OPTION_EXPOSURE, exposure * 1000);
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sensor.set_option(rs2_option::RS2_OPTION_EXPOSURE, exposure * 1000);
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return true;
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}
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@ -97,7 +97,7 @@ void image_save_worker() {
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while (!stop_workers) {
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if (image_data_queue.try_pop(img)) {
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if (recording)
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if (recording) {
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for (size_t cam_id = 0; cam_id < NUM_CAMS; ++cam_id) {
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#if CV_MAJOR_VERSION >= 3
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cam_data[cam_id] << img->t_ns << "," << img->t_ns << ".webp"
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@ -112,38 +112,39 @@ void image_save_worker() {
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<< std::endl;
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}
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for (size_t cam_id = 0; cam_id < NUM_CAMS; ++cam_id) {
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basalt::ManagedImage<uint16_t>::Ptr image_raw =
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img->img_data[cam_id].img;
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for (size_t cam_id = 0; cam_id < NUM_CAMS; ++cam_id) {
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basalt::ManagedImage<uint16_t>::Ptr image_raw =
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img->img_data[cam_id].img;
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if (!image_raw.get()) continue;
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if (!image_raw.get()) continue;
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cv::Mat image(image_raw->h, image_raw->w, CV_8U);
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cv::Mat image(image_raw->h, image_raw->w, CV_8U);
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uint8_t *dst = image.ptr();
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const uint16_t *src = image_raw->ptr;
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uint8_t *dst = image.ptr();
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const uint16_t *src = image_raw->ptr;
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for (size_t i = 0; i < image_raw->size(); i++) {
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dst[i] = (src[i] >> 8);
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}
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for (size_t i = 0; i < image_raw->size(); i++) {
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dst[i] = (src[i] >> 8);
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}
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#if CV_MAJOR_VERSION >= 3
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std::string filename = dataset_dir + "mav0/cam" +
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std::to_string(cam_id) + "/data/" +
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std::to_string(img->t_ns) + ".webp";
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std::string filename = dataset_dir + "mav0/cam" +
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std::to_string(cam_id) + "/data/" +
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std::to_string(img->t_ns) + ".webp";
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std::vector<int> compression_params = {cv::IMWRITE_WEBP_QUALITY,
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webp_quality};
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cv::imwrite(filename, image, compression_params);
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std::vector<int> compression_params = {cv::IMWRITE_WEBP_QUALITY,
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webp_quality};
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cv::imwrite(filename, image, compression_params);
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#else
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std::string filename = dataset_dir + "mav0/cam" +
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std::to_string(cam_id) + "/data/" +
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std::to_string(img->t_ns) + ".jpg";
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std::string filename = dataset_dir + "mav0/cam" +
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std::to_string(cam_id) + "/data/" +
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std::to_string(img->t_ns) + ".jpg";
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std::vector<int> compression_params = {cv::IMWRITE_JPEG_QUALITY,
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webp_quality};
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cv::imwrite(filename, image, compression_params);
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std::vector<int> compression_params = {cv::IMWRITE_JPEG_QUALITY,
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webp_quality};
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cv::imwrite(filename, image, compression_params);
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#endif
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}
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}
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} else {
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std::this_thread::sleep_for(std::chrono::milliseconds(10));
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@ -272,6 +273,7 @@ void stopRecording() {
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exposure_data[0].close();
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exposure_data[1].close();
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imu0_data.close();
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pose_data.close();
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std::cout << "Stopped recording dataset in " << dataset_dir << std::endl;
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}
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@ -300,6 +302,10 @@ int main(int argc, char *argv[]) {
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return app.exit(e);
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}
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if (dataset_path[dataset_path.length() - 1] != '/') {
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dataset_path += '/';
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}
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bool show_gui = true;
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stop_workers = false;
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@ -379,6 +385,17 @@ int main(int argc, char *argv[]) {
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}
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};
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iv->OnSelectionCallback =
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[&](pangolin::ImageView::OnSelectionEventData o) {
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int64_t curr_t_ns = std::chrono::high_resolution_clock::now()
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.time_since_epoch()
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.count();
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if (std::abs(record_t_ns - curr_t_ns) > int64_t(2e9)) {
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toggleRecording(dataset_path);
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record_t_ns = curr_t_ns;
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}
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};
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img_view.push_back(iv);
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img_view_display.AddDisplay(*iv);
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}
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@ -116,6 +116,7 @@ basalt::OpticalFlowBase::Ptr opt_flow_ptr;
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basalt::VioEstimatorBase::Ptr vio;
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int main(int argc, char** argv) {
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bool terminate = false;
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bool show_gui = true;
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bool print_queue = false;
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std::string cam_calib_path;
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@ -239,7 +240,7 @@ int main(int argc, char** argv) {
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if (print_queue) {
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t5.reset(new std::thread([&]() {
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while (true) {
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while (!terminate) {
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std::cout << "opt_flow_ptr->input_queue "
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<< opt_flow_ptr->input_queue.size()
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<< " opt_flow_ptr->output_queue "
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@ -348,9 +349,11 @@ int main(int argc, char** argv) {
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}
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t265_device->stop();
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terminate = true;
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if (t3.get()) t3->join();
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t4.join();
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if (t5.get()) t5->join();
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return 0;
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}
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