Bienqq
/
car-detection-bayes
2
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

updates

This commit is contained in:
Glenn Jocher 2019-08-15 14:10:08 +02:00
parent 1c0d408fbf
commit a8996d5d3a
1 changed files with 10 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
train.py
View File

@ -272,10 +272,16 @@ def train(cfg,
pbar.set_description(s)
# Calculate mAP (always test final epoch, skip first 5 if opt.nosave)
if not (opt.notest or (opt.nosave and epoch < 10)) or epoch == epochs - 1:
final_epoch = epoch + 1 == epochs
if not (opt.notest or (opt.nosave and epoch < 10)) or final_epoch:
with torch.no_grad():
results, maps = test.test(cfg, data, batch_size=batch_size, img_size=opt.img_size, model=model,
conf_thres=0.1)
results, maps = test.test(cfg,
data,
batch_size=batch_size,
img_size=opt.img_size,
model=model,
conf_thres=0.001 if final_epoch else 0.1, # 0.1 for speed
save_json=final_epoch and 'coco.data' in data)
# Write epoch results
with open('results.txt', 'a') as file:
@ -295,7 +301,7 @@ def train(cfg,
best_fitness = fitness
# Save training results
save = (not opt.nosave) or ((not opt.evolve) and (epoch == epochs - 1))
save = (not opt.nosave) or ((not opt.evolve) and final_epoch)
if save:
with open('results.txt', 'r') as file:
# Create checkpoint