add download script

checkpoints/download_model.py

@@ -0,0 +1,46 @@
+import requests, os
+
+def download_file_from_google_drive(id, destination):
+    URL = "https://docs.google.com/uc?export=download"
+
+    session = requests.Session()
+
+    response = session.get(URL, params = { 'id' : id }, stream = True)
+    token = get_confirm_token(response)
+
+    if token:
+        params = { 'id' : id, 'confirm' : token }
+        response = session.get(URL, params = params, stream = True)
+
+    save_response_content(response, destination)    
+
+def get_confirm_token(response):
+    for key, value in response.cookies.items():
+        if key.startswith('download_warning'):
+            return value
+
+    return None
+
+def save_response_content(response, destination):
+    CHUNK_SIZE = 32768
+
+    with open(destination, "wb") as f:
+        for chunk in response.iter_content(CHUNK_SIZE):
+            if chunk: # filter out keep-alive new chunks
+                f.write(chunk)
+
+if __name__ == "__main__":
+    print("Downloading pretrained model...")
+    file_id = str("1ZNJSAN-96CVUakwtd1YMW70t2YXSVIdn")
+    destination = str("./checkpoints/gtaCrash.1.0.t-1.8.zip")
+    download_file_from_google_drive(file_id, destination)
+    print("Download completed!")
+
+    print("Unzipping pretrained model...")
+    os.system("unzip ./checkpoints/gtaCrash.1.0.t-1.8.zip -d ./checkpoints")
+    print("Unzipping completed!")
+
+    os.system("rm ./checkpoints/gtaCrash.1.0.t-1.8.zip")
+    print("Zip file removed")
+
+

scripts/train_gta_script.py

@@ -10,7 +10,7 @@
 feature_extractor = 'vgg16'
 optimizer = 'adam'
 lr = 0.0001
-decay_lr_per = 3
+decay_lr_per = 2
 nepoch = 10
 init_steps_to_skip_eval = 1500
 
@@ -23,7 +23,7 @@
 			for n_RGBs, n_BBs in [(3,3)]:
 
 				os.system("python train.py " + \
-							"--name temp.gtaCrash.{train_proportion}.t-{ttc}s/{label_method}-{motion_model}/".format(
+							"--name gtaCrash.{train_proportion}.t-{ttc}s/{label_method}-{motion_model}/".format(
 											train_proportion=train_proportion, ttc=ttc, 
 											label_method=label_method, motion_model=motion_model) +\
 									"{n_RGBs}rgb{n_BBs}b.{feature_extractor}.{optimizer}.lr{lr}.decay_lr_per{decay_lr_per}.seed{seed} ".format(