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Update benchmarks CI with --hard-fail min metric floor #9276

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Sep 4, 2022
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2 changes: 1 addition & 1 deletion .github/workflows/ci-testing.yml
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ jobs:
pip list
- name: Run benchmarks
run: |
python utils/benchmarks.py --weights ${{ matrix.model }}.pt --img 320 --hard-fail
python utils/benchmarks.py --weights ${{ matrix.model }}.pt --img 320 --hard-fail 0.29

Tests:
timeout-minutes: 60
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8 changes: 6 additions & 2 deletions utils/benchmarks.py
Original file line number Diff line number Diff line change
Expand Up @@ -92,10 +92,14 @@ def run(
LOGGER.info('\n')
parse_opt()
notebook_init() # print system info
c = ['Format', 'Size (MB)', 'mAP@0.5:0.95', 'Inference time (ms)'] if map else ['Format', 'Export', '', '']
c = ['Format', 'Size (MB)', 'mAP50-95', 'Inference time (ms)'] if map else ['Format', 'Export', '', '']
py = pd.DataFrame(y, columns=c)
LOGGER.info(f'\nBenchmarks complete ({time.time() - t:.2f}s)')
LOGGER.info(str(py if map else py.iloc[:, :2]))
if hard_fail and isinstance(hard_fail, str):
metrics = py['mAP50-95'].array # values to compare to floor
floor = eval(hard_fail) # minimum metric floor to pass, i.e. = 0.29 mAP for YOLOv5n
assert all(x > floor for x in metrics if pd.notna(x)), f'HARD FAIL: mAP50-95 < floor {floor}'
return py


Expand Down Expand Up @@ -141,7 +145,7 @@ def parse_opt():
parser.add_argument('--half', action='store_true', help='use FP16 half-precision inference')
parser.add_argument('--test', action='store_true', help='test exports only')
parser.add_argument('--pt-only', action='store_true', help='test PyTorch only')
parser.add_argument('--hard-fail', action='store_true', help='throw error on benchmark failure')
parser.add_argument('--hard-fail', nargs='?', const=True, default=False, help='Exception on error or < min metric')
opt = parser.parse_args()
opt.data = check_yaml(opt.data) # check YAML
print_args(vars(opt))
Expand Down