webb-c / Jetson

Experiment code for Jetson Nano

FrameDrop Agent in Jetson Nano

Dataset

You can download here!

• Jackson: https://www.youtube.com/watch?v=1EiC9bvVGnk
• Scenic Drive: https://www.youtube.com/watch?v=7NSGFFb_YJs

Dataset	Duration	Resolution rate	fps	Data Size	Total Frames
Jackson (JK)	3m 11s	1920 × 1080	30	6.22 $\text{MB}$	5745
Scenic Drive (SD)	3m 0s	1920 × 1080	30	6.22 $\text{MB}$	5419
Jetson Nano (JN)	1m 31s	640 x 640	30	1.23 $\text{MB}$	2730

How to using

📢 execute scripts/{method}.sh

Reducto

video_name	dist	safe	target	fraction	f1 score
JN-1	1.0	0.075	0.7	0.116545893	0.504218936
JN-1	0.25	0.025	0.9	0.527777791	0.681833386
SD-1	3.0	-0.05	0.7	0.245757058	0.715767324
SD-1	2.0	-0.05	0.9	0.482580096	0.844048023
JK-1	2.0	-0.025	0.7	0.193452388	0.852993608
JK-1	1.0	0.025	0.9	0.469394833	0.938838184

python run.py -method reducto -video {video_name} -dist {} -safe {} -target {} -jetson t

FrameHopper

video_name	model_name	fraction	f1 score
JN	240331-205931_videopath_JN_psi1_4.0.npy	0.1883	0.553460
JN	240401-094802_videopath_JN_targetf1_0.9.npy	0.5392	0.793518
SD-1	240401-095215_videopath_SD_psi1_15.0.npy	0.2495	0.625895
SD-1	240401-043234_videopath_SD_targetf1_0.9_psi1_0.1.npy	0.5226	0.869072
JK-1	240327-075446_videopath_JK_psi1_1.0.npy	0.1121	0.834371899
JK-1	240331-141531_videopath_JK_targetf1_0.9_psi2_2.0.npy	0.2594	0.885302147

python run.py -method frameHopper -video {video_name} -model {model_name} -jetson t

LRLO

video_name	model_name	fraction	f1 score
JN	240329-065208_videopath_JN_rewardmethod_11_importantmethod_021_actiondim_15_threshold_0.4_statemethod_1.npy	0.1737	0.502615295
JN	240331-145303_videopath_JN_rewardmethod_11_importantmethod_021_actiondim_5_threshold_0.5_statemethod_1.npy	0.4892	0.77821829
SD-1	240331-145253_videopath_SD_rewardmethod_10_importantmethod_021_radius_120_actiondim_15_threshold_0.1_statemethod_1.npy	0.2054	0.656007951
SD-1	240329-010114_videopath_SD_rewardmethod_11_importantmethod_021_radius_120_actiondim_5_threshold_0.2_statemethod_1.npy	0.3998	0.815773421
JK-1	240331-145241_videopath_JK_rewardmethod_11_importantmethod_021_actiondim_15_threshold_0.1_statemethod_1.npy	0.1412	0.825364566
JK-1	240328-140300_videopath_JK_rewardmethod_10_importantmethod_021_actiondim_5_threshold_0.35_statemethod_1.npy	0.5639	0.932373083

python run.py -method LRLO -video {video_name} -model {model_name} -V {} -jetson t

Directory hierarchy

• data\: Dataset directory (note that reducto dataset located in data/split/)
• mannager\:
  • Communicator.py: Communicate with VideoSender in Jetson Nano
  • Parser.py: Argparser for Agent
  • VideoProcessor.py: VideoProcessor for Agent. (sleep 1.0/fps when read each frame )
• model\: trained model directory
• src\ : each method's source code directory
• utils\ : util functions directory
• run.py : testing code

📦JETSON
 ┣ 📂data
 ┃ ┣ 📂split                        # Dataset for Reducto
 ┃ ┃ ┗ 📂{video_name}
 ┃ ┃   ┗ 📂subset0
 ┃ ┃     ┗ 🎬segment???.mp4
 ┃ ┗ 🎬{video_name}.mp4
 ┣ 📂mannager
 ┃ ┣ 📜Communicator.py
 ┃ ┣ 📜Parser.py
 ┃ ┗ 📜VideoProcessor.py
 ┣ 📂model
 ┃ ┣ 📂FrameHopper
 ┃ ┃ ┣ 📂cluster
 ┃ ┃ ┃ ┗ 📜{video_name}.pkl
 ┃ ┃ ┗ 📂ndarray
 ┃ ┃ ┃ ┗ 📜{model_name}.npy
 ┃ ┣ 📂LRLO
 ┃ ┃ ┣ 📂cluster
 ┃ ┃ ┃ ┗ 📜{video_name}_{state_num}_{radius}_{action_dim}_{state_method}.pkl
 ┃ ┃ ┗ 📂ndarray
 ┃ ┃ ┃ ┗ 📜{model_name}.npy
 ┃ ┗ 📂Reducto
 ┃ ┃ ┣ 📂cluster
 ┃ ┃ ┃ ┗📜{video_name}_{safe_zone}_{target_acc}.pkl
 ┃ ┃ ┗ 📂config
 ┃ ┃ ┃ ┣ 📂threshes
 ┃ ┃ ┃ ┃ ┗ 📜{train_video_name}.json
 ┃ ┃ ┃ ┗ 📜{test_video_name}.yaml
 ┣ 📂src
 ┃ ┣ 📂FrameHopper
 ┃ ┃ ┣ 📂util
 ┃ ┃ ┃ ┣ 📜cluster.py
 ┃ ┃ ┃ ┗ 📜obj.py
 ┃ ┃ ┣ 📜agent.py
 ┃ ┃ ┣ 📜environment.py
 ┃ ┃ ┗ 📜run.py
 ┃ ┣ 📂LRLO
 ┃ ┃ ┣ 📂util
 ┃ ┃ ┃ ┣ 📜cal_F1.py
 ┃ ┃ ┃ ┣ 📜cal_quality.py
 ┃ ┃ ┃ ┗ 📜get_state.py
 ┃ ┃ ┣ 📜agent.py
 ┃ ┃ ┣ 📜environment.py
 ┃ ┃ ┗ 📜run.py
 ┃ ┗ 📂Reducto
 ┃ ┃ ┣ 📂util
 ┃ ┃ ┃ ┣ 📂differencer
 ┃ ┃ ┃ ┃ ┣ 📜diff_composer.py
 ┃ ┃ ┃ ┃ ┗ 📜diff_processor.py
 ┃ ┃ ┃ ┣ 📂hashbuilder
 ┃ ┃ ┃ ┃ ┗ 📜hash_builder.py
 ┃ ┃ ┃ ┣ 📜data_loader.py
 ┃ ┃ ┃ ┣ 📜model.py
 ┃ ┃ ┃ ┣ 📜utils.py
 ┃ ┃ ┃ ┗ 📜video_processor.py
 ┃ ┃ ┣ 📜run.py
 ┃ ┃ ┗ 📜simulator.py
 ┣ 📂utils
 ┃ ┗ 📜util.py
 ┣ 📜.gitignore
 ┣ 📜README.md
 ┗ 📜run.py