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Fix testscript.py execution: set max_iters when training network #2395

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Merged
MMathisLab merged 1 commit into from
Sep 22, 2023
Merged

Fix testscript.py execution: set max_iters when training network #2395

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14 changes: 7 additions & 7 deletions examples/testscript.py
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Original file line number Diff line number Diff line change
Expand Up @@ -168,13 +168,12 @@
DLC_config = deeplabcut.auxiliaryfunctions.read_plainconfig(posefile)
DLC_config["save_iters"] = N_ITER
DLC_config["display_iters"] = 2
DLC_config["multi_step"] = [[0.001, N_ITER]]

print("CHANGING training parameters to end quickly!")
deeplabcut.auxiliaryfunctions.write_plainconfig(posefile, DLC_config)

print("TRAIN")
deeplabcut.train_network(path_config_file)
deeplabcut.train_network(path_config_file, maxiters=N_ITER)

print("EVALUATE")
deeplabcut.evaluate_network(
Expand Down Expand Up @@ -304,13 +303,12 @@ def make_frame(t):
DLC_config = deeplabcut.auxiliaryfunctions.read_plainconfig(posefile)
DLC_config["save_iters"] = N_ITER
DLC_config["display_iters"] = 1
DLC_config["multi_step"] = [[0.001, N_ITER]]

print("CHANGING training parameters to end quickly!")
deeplabcut.auxiliaryfunctions.write_config(posefile, DLC_config)

print("TRAIN")
deeplabcut.train_network(path_config_file)
deeplabcut.train_network(path_config_file, maxiters=N_ITER)

try: # you need ffmpeg command line interface
# subprocess.call(['ffmpeg','-i',video[0],'-ss','00:00:00','-to','00:00:00.4','-c','copy',newvideo])
Expand Down Expand Up @@ -400,15 +398,17 @@ def make_frame(t):
)

DLC_config = deeplabcut.auxiliaryfunctions.read_plainconfig(posefile)
DLC_config["save_iters"] = 10
updated_max_iters = 10
DLC_config["save_iters"] = updated_max_iters
DLC_config["display_iters"] = 2
DLC_config["multi_step"] = [[0.001, 10]]

print("CHANGING training parameters to end quickly!")
deeplabcut.auxiliaryfunctions.write_plainconfig(posefile, DLC_config)

print("TRAINING shuffle 2, with smaller allocated memory")
deeplabcut.train_network(path_config_file, shuffle=2, allow_growth=True)
deeplabcut.train_network(
path_config_file, shuffle=2, allow_growth=True, maxiters=updated_max_iters
)

print("ANALYZING some individual frames")
deeplabcut.analyze_time_lapse_frames(
Expand Down