2022 DAC Presentation
Final Results
| Rank | Team Name | FPS | IoU | FPS Penalty | IoU Penalty | Energy(J) | Energy Score | Total Score |
|---|---|---|---|---|---|---|---|---|
| 1 | SEUer | 2,020.6 | 0.703 | 1.00 | 1.00 | 36.7 | 5.198 | 19.239 |
| 2 | ultrateam | 2,266.2 | 0.703 | 1.00 | 1.00 | 40.3 | 5.333 | 18.752 |
| 3 | InvolutionNet | 712.8 | 0.708 | 1.00 | 1.00 | 144.6 | 7.176 | 13.935 |
| 4 | UBPercept | 593.5 | 0.704 | 1.00 | 1.00 | 202.1 | 7.659 | 13.057 |
| 5 | 404NotFound | 492.6 | 0.699 | 1.00 | 1.00 | 259.3 | 8.018 | 12.409 |
| 6 | super-capacitor | 386.2 | 0.708 | 1.00 | 1.00 | 289.6 | 8.178 | 12.228 |
| 7 | Monday* | 379.8 | 0.703 | 1.00 | 1.00 | 291.8 | 8.189 | 12.212 |
| 8 | BoatingWithoutPaddle | 293.7 | 0.699 | 1.00 | 1.00 | 309.0 | 8.271 | 12.029 |
| 9 | TmpSEU* | 363.9 | 0.702 | 1.00 | 1.00 | 354.1 | 8.468 | 11.809 |
| 10 | SoutheastASIC | 401.5 | 0.703 | 1.00 | 1.00 | 355.6 | 8.474 | 11.801 |
| 11 | GoLukeGo | 298.7 | 0.700 | 1.00 | 1.00 | 400.4 | 8.645 | 11.567 |
| 12 | seuplayers | 404.8 | 0.688 | 1.00 | 0.94 | 327.8 | 8.357 | 11.248 |
| 13 | TouchFish | 349.0 | 0.709 | 1.00 | 1.00 | 612.6 | 9.259 | 10.801 |
| 14 | txh | 351.2 | 0.709 | 1.00 | 1.00 | 629.6 | 9.298 | 10.755 |
| 15 | CCAI_ZJU | 250.9 | 0.695 | 1.00 | 0.98 | 586.7 | 9.196 | 10.602 |
| 16 | whatever* | 154.0 | 0.680 | 1.00 | 0.90 | 883.5 | 9.787 | 9.196 |
| 17 | BIT_gd | 56.0 | 0.725 | 1.00 | 1.00 | 3,143.7 | 11.618 | 8.607 |
| 18 | gd_BIT | 54.5 | 0.725 | 1.00 | 1.00 | 3,566.6 | 11.800 | 8.474 |
| 19 | Vienna EML | 528.5 | 0.620 | 1.00 | 0.60 | 312.7 | 8.289 | 7.239 |
| 20 | YoLook | 507.9 | 0.593 | 1.00 | 0.47 | 260.8 | 8.027 | 5.793 |
| 21 | LU_CORPS | 283.5 | 0.596 | 1.00 | 0.48 | 540.7 | 9.079 | 5.287 |
| 22 | dpu_b2304_yolox_pybind | 136.2 | 0.597 | 1.00 | 0.49 | 976.3 | 9.931 | 4.884 |
| 23 | MTC | 534.9 | 0.568 | 1.00 | 0.34 | 249.5 | 7.963 | 4.270 |
| 24 | YJY* | 14.5 | 0.737 | 0.48 | 1.00 | 8,587.0 | 13.068 | 3.699 |
| 25 | ShinyRosy* | 7.3 | 0.714 | 0.24 | 1.00 | 26,144.5 | 14.674 | 1.667 |
| 26 | sephjiang* | 7.3 | 0.714 | 0.24 | 1.00 | 26,764.1 | 14.708 | 1.663 |
Could not run (notebook crashes): dpu_b1600_yolox, dpu_b1600_yolox_pybind,dpu_b2304_yolox
* = from preliminary submission
** Results and ranking of top 3 winning teams will be announced in person at the DAC conference (teams currently listed alphabetically).
June Submission Results
| Rank | Team Name | FPS | IoU | FPS Penalty | IoU Penalty | Energy(J) | Energy Score | Total Score |
|---|---|---|---|---|---|---|---|---|
| 1 | TmpSEU | 363.910 | 0.702 | 1.00 | 1.00 | 354.1 | 8.468 | 11.809 |
| 2 | UBPercept | 546.250 | 0.703 | 1.00 | 1.00 | 359.9 | 8.491 | 11.777 |
| 3 | SoutheastASIC | 405.160 | 0.703 | 1.00 | 1.00 | 422.9 | 8.724 | 11.462 |
| 4 | Monday | 405.200 | 0.703 | 1.00 | 1.00 | 487.1 | 8.928 | 11.201 |
| 5 | ultrateam | 390.750 | 0.666 | 1.00 | 0.83 | 275.5 | 8.106 | 10.239 |
| 6 | seuplayers | 414.920 | 0.675 | 1.00 | 0.88 | 468.0 | 8.870 | 9.864 |
| 7 | SEUer | 460.130 | 0.675 | 1.00 | 0.88 | 509.6 | 8.993 | 9.730 |
| 8 | whatever | 153.950 | 0.680 | 1.00 | 0.90 | 883.5 | 9.787 | 9.196 |
| 9 | InvolutionNet | 171.270 | 0.667 | 1.00 | 0.84 | 833.7 | 9.703 | 8.605 |
| 10 | CCAI_ZJU | 21.520 | 0.711 | 0.72 | 1.00 | 6,540.7 | 12.675 | 5.659 |
| 11 | Vienna EML | 64.830 | 0.623 | 1.00 | 0.62 | 2,610.4 | 11.350 | 5.418 |
| 12 | YJY | 14.500 | 0.737 | 0.48 | 1.00 | 8,587.0 | 13.068 | 3.699 |
| 13 | YoLook | 231.210 | 0.560 | 1.00 | 0.30 | 928.8 | 9.859 | 3.043 |
| 14 | TouchFish | 8.020 | 0.697 | 0.27 | 0.99 | 18,995.2 | 14.213 | 1.853 |
| 15 | txh | 7.960 | 0.688 | 0.27 | 0.94 | 16,426.3 | 14.004 | 1.781 |
| 16 | BoatingWithoutPaddle | 104.760 | 0.454 | 1.00 | 0.10 | 1,410.1 | 10.462 | 0.956 |
| 17 | MTC | 63.780 | 0.391 | 1.00 | 0.10 | 1,649.5 | 10.688 | 0.936 |
| 18 | BIT_gd | 55.270 | 0.412 | 1.00 | 0.10 | 3,128.7 | 11.611 | 0.861 |
Notes:
- BIT_gd_plus: ValueError: could not broadcast input array from shape (64,360,640,3) into shape (40,360,640,3)
- super-capacitor: On last batch: ValueError: 500 images provided, but 960 object locations returned.
- whatever: .hwh filename needs to match .bit filename
- TouchFish: print(toc-tic) undefined
- txh: print(toc-tic) undefined
May Submission Results
| Rank | Team Name | FPS | IoU | FPS Penalty | IoU Penalty | Energy(J) | Energy Score | Total Score |
|---|---|---|---|---|---|---|---|---|
| 1 | Monday | 379.840 | 0.703 | 1.00 | 1.00 | 291.8 | 8.189 | 12.212 |
| 2 | TmpSEU | 358.610 | 0.478 | 1.00 | 0.10 | 350.6 | 8.454 | 1.183 |
| 3 | ultrateam | 360.140 | 0.478 | 1.00 | 0.10 | 401.8 | 8.650 | 1.156 |
| 4 | InvolutionNet | 241.050 | 0.332 | 1.00 | 0.10 | 689.6 | 9.430 | 1.060 |
| 5 | SoutheastASIC | 226.020 | 0.454 | 1.00 | 0.10 | 698.4 | 9.448 | 1.058 |
Notes:
- InvolutionNet: Your team has some power measurement code that contained a bug, please make sure to remove first next time.
- BIT_gd: Error “TypeError: init() got an unexpected keyword argument ‘batch_size’, OSError: libopencv_imgcodecs.so.3.2: cannot open shared object file: No such file or directory”
- mit_hanlab: ModuleNotFoundError: No module named ‘pynq_dpu’. We’ve installed the DPU using
pip3 install pynq-dpuand it’s still not working. Please advise. - super-capacitor: OSError: libopencv_imgcodecs.so.3.4: cannot open shared object file: No such file or directory. (We installed libopencv-imgcodecs4.2 but looks like your code relies on version 3.4
- UT-IS21: Notebook crashes during 1st batch.
March Submission Results
| Rank | Team Name | FPS | IoU | FPS Penalty | IoU Penalty | Energy(J) | Energy Score | Total Score |
|---|---|---|---|---|---|---|---|---|
| 1 | Monday | 363.000 | 0.708 | 1.00 | 1.00 | 378.0 | 8.562 | 11.679 |
| 2 | ultrateam | 287.090 | 0.708 | 1.00 | 1.00 | 458.8 | 8.842 | 11.310 |
| 3 | ShinyRosy | 7.340 | 0.714 | 0.24 | 1.00 | 26,144.5 | 14.674 | 1.667 |
| 4 | sephjiang | 7.340 | 0.714 | 0.24 | 1.00 | 26,764.1 | 14.708 | 1.663 |
| 5 | TouchFish | 5.690 | 0.714 | 0.19 | 1.00 | 25,104.4 | 14.616 | 1.298 |
| 6 | CCAI_ZJU | 5.690 | 0.711 | 0.19 | 1.00 | 28,521.3 | 14.800 | 1.282 |
| 7 | TmpSEU | 370.570 | 0.478 | 1.00 | 0.10 | 349.8 | 8.450 | 1.183 |
| 8 | Vienna EML | 12.790 | 0.366 | 0.43 | 0.10 | 13,105.6 | 13.678 | 0.312 |
LU_CORPS: Kernel crashes after a long while (about 40-50k images). Tried 3 times.