From e4abbc045c37d1d275ec4fe38b401a82fe2e612d Mon Sep 17 00:00:00 2001
From: Si11ium <steffen.illium@ifi.lmu.de>
Date: Thu, 21 May 2020 14:42:35 +0200
Subject: [PATCH] speed aug fixed
---
_paramters.py | 4 ++--
datasets/binar_masks.py | 1 -
multi_run.py | 27 +++++++++++++--------------
3 files changed, 15 insertions(+), 17 deletions(-)
diff --git a/_paramters.py b/_paramters.py
index 83d2b4e..17cac75 100644
--- a/_paramters.py
+++ b/_paramters.py
@@ -34,8 +34,8 @@ main_arg_parser.add_argument("--data_shift_ratio", type=float, default=0.3, help
main_arg_parser.add_argument("--data_noise_ratio", type=float, default=0, help="") # 0.4
main_arg_parser.add_argument("--data_mask_ratio", type=float, default=0, help="") # 0.2
main_arg_parser.add_argument("--data_speed_amount", type=float, default=0, help="") # 0.3
-main_arg_parser.add_argument("--data_speed_min", type=float, default=0, help="") # 0.7
-main_arg_parser.add_argument("--data_speed_max", type=float, default=0, help="") # 1.7
+main_arg_parser.add_argument("--data_speed_min", type=float, default=0.7, help="") # 0.7
+main_arg_parser.add_argument("--data_speed_max", type=float, default=1.7, help="") # 1.7
# Model Parameters
main_arg_parser.add_argument("--model_type", type=str, default="RCC", help="")
diff --git a/datasets/binar_masks.py b/datasets/binar_masks.py
index ea4e3f6..6b0bb08 100644
--- a/datasets/binar_masks.py
+++ b/datasets/binar_masks.py
@@ -51,7 +51,6 @@ class BinaryMasksDataset(Dataset):
additional_dict = ({f'X{key}': val for key, val in labeldict.items()})
additional_dict.update({f'XX{key}': val for key, val in labeldict.items()})
additional_dict.update({f'XXX{key}': val for key, val in labeldict.items()})
- additional_dict.update({f'XXXX{key}': val for key, val in labeldict.items()})
labeldict.update(additional_dict)
# Delete File if one exists.
diff --git a/multi_run.py b/multi_run.py
index 85cede6..3f4191f 100644
--- a/multi_run.py
+++ b/multi_run.py
@@ -30,21 +30,20 @@ if __name__ == '__main__':
all_conf = dict(data_speed_factor=0.7, data_speed_ratio=0.4, data_mask_ratio=0.2,
data_noise_ratio=0.4, data_shift_ratio=0.4, data_loudness_ratio=0.4,
data_stretch=True, train_epochs=101)
- speed_conf = dict(data_speed_factor=0.7, data_speed_ratio=0.4, data_mask_ratio=0.0,
- data_noise_ratio=0.0, data_shift_ratio=0.0, data_loudness_ratio=0.0,
+ speed_conf = raw_conf.copy()
+ speed_conf.update(data_speed_amount=0.4, data_speed_min=0.7, data_speed_max=1.7,
data_stretch=True, train_epochs=101)
- mask_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.2,
- data_noise_ratio=0.0, data_shift_ratio=0.0, data_loudness_ratio=0.0,
- data_stretch=True, train_epochs=101)
- noise_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.0,
- data_noise_ratio=0.4, data_shift_ratio=0.0, data_loudness_ratio=0.0,
- data_stretch=True, train_epochs=101)
- shift_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.0,
- data_noise_ratio=0.0, data_shift_ratio=0.4, data_loudness_ratio=0.0,
- data_stretch=True, train_epochs=101)
- loudness_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.0,
- data_noise_ratio=0.0, data_shift_ratio=0.0, data_loudness_ratio=0.4,
- data_stretch=True, train_epochs=101)
+ mask_conf = raw_conf.copy()
+ mask_conf.update(data_mask_ratio=0.2, data_stretch=True, train_epochs=101)
+
+ noise_conf = raw_conf.copy()
+ noise_conf.update(data_noise_ratio=0.4, data_stretch=True, train_epochs=101)
+
+ shift_conf = raw_conf.copy()
+ shift_conf.update(data_shift_ratio=0.4, data_stretch=True, train_epochs=101)
+
+ loudness_conf = raw_conf.copy()
+ loudness_conf.update(data_loudness_ratio=0.4, data_stretch=True, train_epochs=101)
for dicts in [raw_conf, all_conf, speed_conf, mask_conf, noise_conf, shift_conf, loudness_conf]: