updates

train.py

@@ -379,7 +379,7 @@ if __name__ == '__main__':
         if opt.bucket:
             os.system('gsutil cp gs://%s/evolve.txt .' % opt.bucket)  # download evolve.txt if exists
 
-        for _ in range(2):  # generations to evolve
+        for _ in range(1):  # generations to evolve
             if os.path.exists('evolve.txt'):  # if evolve.txt exists: select best hyps and mutate
                 # Get best hyperparameters
                 x = np.loadtxt('evolve.txt', ndmin=2)

utils/gcp.sh

@@ -29,7 +29,7 @@ python3 detect.py
 python3 test.py --save-json
 
 # Evolve
-for i in {0..100}
+for i in {0..500}
 do
   python3 train.py --data data/coco.data --img-size 320 --epochs 1 --batch-size 64 --accumulate 1 --evolve --bucket yolov4
 done