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save camera exposure as part of snapshot #448

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save camera exposure as part of snapshot #448

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6a17bae
save camera exposure as part of snapshot
hturki Apr 7, 2022
46ae6e5
fix identation
hturki Apr 13, 2022
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14 changes: 14 additions & 0 deletions src/testbed.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -2224,6 +2224,12 @@ void Testbed::save_snapshot(const std::string& filepath_string, bool include_opt
m_network_config["snapshot"]["nerf"]["rgb"]["measured_batch_size"] = m_nerf.training.counters_rgb.measured_batch_size;
m_network_config["snapshot"]["nerf"]["rgb"]["measured_batch_size_before_compaction"] = m_nerf.training.counters_rgb.measured_batch_size_before_compaction;
m_network_config["snapshot"]["nerf"]["dataset"] = m_nerf.training.dataset;

nlohmann::json::binary_t cam_exposure_json;
size_t cam_exposure_bytes = m_nerf.training.cam_exposure.size() * sizeof(AdamOptimizer<Eigen::Array3f>);
cam_exposure_json.resize(cam_exposure_bytes);
memcpy(cam_exposure_json.data(), m_nerf.training.cam_exposure.data(), cam_exposure_bytes);
m_network_config["snapshot"]["nerf"]["cam_exposure"] = cam_exposure_json;
}

m_network_config_path = filepath;
Expand Down Expand Up @@ -2265,6 +2271,14 @@ void Testbed::load_snapshot(const std::string& filepath_string) {
m_loss_scalar = m_network_config["snapshot"]["loss"];

m_trainer->deserialize(m_network_config["snapshot"]);

if (m_testbed_mode == ETestbedMode::Nerf) {
nlohmann::json::binary_t cam_exposure_json;
size_t cam_exposure_bytes = m_nerf.training.cam_exposure.size() * sizeof(AdamOptimizer<Eigen::Array3f>);
cam_exposure_json.resize(cam_exposure_bytes);
memcpy(cam_exposure_json.data(), m_nerf.training.cam_exposure.data(), cam_exposure_bytes);
m_network_config["snapshot"]["nerf"]["cam_exposure"] = cam_exposure_json;
}
}

void Testbed::load_camera_path(const std::string& filepath_string) {
Expand Down