Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 4 additions & 7 deletions export.py
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,6 @@

import pandas as pd
import torch
import torch.nn as nn
from torch.utils.mobile_optimizer import optimize_for_mobile

FILE = Path(__file__).resolve()
Expand All @@ -64,10 +63,8 @@
if platform.system() != 'Windows':
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative

from models.common import Conv
from models.experimental import attempt_load
from models.yolo import Detect
from utils.activations import SiLU
from utils.datasets import LoadImages
from utils.general import (LOGGER, check_dataset, check_img_size, check_requirements, check_version, colorstr,
file_size, print_args, url2file)
Expand Down Expand Up @@ -474,10 +471,10 @@ def run(
im, model = im.half(), model.half() # to FP16
model.train() if train else model.eval() # training mode = no Detect() layer grid construction
for k, m in model.named_modules():
if isinstance(m, Conv): # assign export-friendly activations
if isinstance(m.act, nn.SiLU):
m.act = SiLU()
elif isinstance(m, Detect):
# if isinstance(m, Conv): # assign export-friendly activations
# if isinstance(m.act, nn.SiLU):
# m.act = SiLU()
if isinstance(m, Detect):
m.inplace = inplace
m.onnx_dynamic = dynamic
if hasattr(m, 'forward_export'):
Expand Down
2 changes: 1 addition & 1 deletion utils/general.py
Original file line number Diff line number Diff line change
Expand Up @@ -738,7 +738,7 @@ def non_max_suppression(prediction,
# min_wh = 2 # (pixels) minimum box width and height
max_wh = 7680 # (pixels) maximum box width and height
max_nms = 30000 # maximum number of boxes into torchvision.ops.nms()
time_limit = 0.030 * bs # seconds to quit after
time_limit = 0.1 + 0.03 * bs # seconds to quit after
redundant = True # require redundant detections
multi_label &= nc > 1 # multiple labels per box (adds 0.5ms/img)
merge = False # use merge-NMS
Expand Down