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HeadsNet-2-6.7z

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9ab339e7b10dd320c0eb9f917654cf0a19bb453e5f34f02197981c2e989de067
-size 5074033744
+oid sha256:6df60be39dcaa87d42f738542a200e2fe18d06dc94cc1aa679f6ec32a302677e
+size 5074033362

nan_check.py

@@ -8,11 +8,12 @@ np.set_printoptions(threshold=sys.maxsize)
 
 # load training data
 st = time_ns()
-train_x = []
-train_y = []
 print("Loading...")
+data = []
 with open("train_x.dat", 'rb') as f: data = np.fromfile(f, dtype=np.float32)
+print("[train_x] NaN's detected:", np.count_nonzero(np.isnan(data)))
+data = []
 with open("train_y.dat", 'rb') as f: data = np.fromfile(f, dtype=np.float32)
-print("NaN's detected:", np.count_nonzero(np.isnan(data)))
+print("[train_y] NaN's detected:", np.count_nonzero(np.isnan(data)))
 timetaken = (time_ns()-st)/1e+9
 print("Time Taken:", "{:.2f}".format(timetaken), "seconds")