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https://github.com/aqeelanwar/DRLwithTL.git
synced 2023-04-23 23:24:24 +03:00
Readme update
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@@ -3,7 +3,7 @@ run_name: Tello_indoor
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custom_load: True
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custom_load: True
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custom_load_path: models/trained/Indoor/indoor_cloud/Imagenet/e2e/e2e
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custom_load_path: models/trained/Indoor/indoor_cloud/Imagenet/e2e/e2e
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env_type: Indoor
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env_type: Indoor
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env_name: indoor_frogeyes
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env_name: indoor_techno
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phase: infer
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phase: infer
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@@ -63,7 +63,7 @@ def indoor_meta():
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'GT1', 'GT2', 'GT3',
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'GT1', 'GT2', 'GT3',
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]
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]
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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@@ -94,7 +94,21 @@ def indoor_cloud():
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]
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]
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level_name = ['Condo1', 'Condo2', 'Condo3', 'Condo4']
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level_name = ['Condo1', 'Condo2', 'Condo3', 'Condo4']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -2
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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def indoor_gt():
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# The environment can be downloaded from
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# https://drive.google.com/drive/u/2/folders/1u5teth6l4JW2IXAkZAg1CbDGR6zE-v6Z
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orig_ip = [
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[-30, 460, 0], # Player start
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[640, 900, 270],
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[-130, -1600, 200],
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[-1000, 350, 200]
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]
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level_name = ['GT1', 'GT2', 'GT3', 'GT4']
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crash_threshold = 0.07
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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def indoor_techno():
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def indoor_techno():
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@@ -108,7 +122,7 @@ def indoor_techno():
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]
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]
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level_name = ['Techno1', 'Techno2', 'Techno3', 'Techno4']
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level_name = ['Techno1', 'Techno2', 'Techno3', 'Techno4']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -2
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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def indoor_vanleer():
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def indoor_vanleer():
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@@ -122,7 +136,7 @@ def indoor_vanleer():
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]
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]
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level_name = ['VanLeer1', 'VanLeer2', 'VanLeer3', 'VanLeer4']
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level_name = ['VanLeer1', 'VanLeer2', 'VanLeer3', 'VanLeer4']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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def indoor_long():
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def indoor_long():
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@@ -138,7 +152,7 @@ def indoor_long():
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]
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]
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level_name = ['Long1', 'Long2', 'Long3', 'Long4', 'Long5', 'Long6']
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level_name = ['Long1', 'Long2', 'Long3', 'Long4', 'Long5', 'Long6']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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def indoor_pyramid():
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def indoor_pyramid():
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@@ -152,7 +166,7 @@ def indoor_pyramid():
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]
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]
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level_name = ['Pyramid1', 'Pyramid2', 'Pyramid3', 'Pyramid4']
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level_name = ['Pyramid1', 'Pyramid2', 'Pyramid3', 'Pyramid4']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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@@ -167,7 +181,7 @@ def indoor_frogeyes():
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]
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]
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level_name = ['Pyramid1', 'Pyramid2', 'Pyramid3', 'Pyramid4']
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level_name = ['Pyramid1', 'Pyramid2', 'Pyramid3', 'Pyramid4']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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@@ -182,7 +196,7 @@ def indoor_twist():
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]
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]
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level_name = ['Twist1', 'Twist2', 'Twist3', 'Twist4']
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level_name = ['Twist1', 'Twist2', 'Twist3', 'Twist4']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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@@ -194,7 +208,7 @@ def indoor_pretzel():
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]
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]
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level_name = ['Cloud1', 'Cloud2', 'Cloud3']
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level_name = ['Cloud1', 'Cloud2', 'Cloud3']
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crash_threshold = 0.07
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crash_threshold = 0.07
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initZ = -1.5
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initZ = 0
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return orig_ip, level_name, crash_threshold, initZ
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return orig_ip, level_name, crash_threshold, initZ
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def initial_positions(name):
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def initial_positions(name):
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@@ -15,7 +15,7 @@ Markdown==3.1.1
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matplotlib==3.0.3
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matplotlib==3.0.3
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msgpack-python==0.5.6
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msgpack-python==0.5.6
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msgpack-rpc-python==0.4.1
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msgpack-rpc-python==0.4.1
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numpy==1.17.2
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numpy==1.15.4
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opencv-python==4.1.1.26
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opencv-python==4.1.1.26
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opt-einsum==3.1.0
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opt-einsum==3.1.0
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Pillow==6.2.0
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Pillow==6.2.0
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