From eb30b90846607ff5ebad44d77bf46204ba29db8a Mon Sep 17 00:00:00 2001
From: Florian Vahl <7vahl@informatik.uni-hamburg.de>
Date: Sat, 13 Aug 2022 21:29:41 +0200
Subject: [PATCH 1/2] Also download new weights

---
 weights/download_weights.sh | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/weights/download_weights.sh b/weights/download_weights.sh
index 8e0c664..e502ca5 100755
--- a/weights/download_weights.sh
+++ b/weights/download_weights.sh
@@ -1,6 +1,8 @@
 #!/bin/bash
 # Download weights for yoeo-rev-7
 wget "http://data.bit-bots.de/models/2021_12_06_flo_torso21_yoeo_7/yoeo.pth"
+# Download yoeo-x
+wget -O yoeox.pth "https://data.bit-bots.de/models/2022_10_07_flo_torso21_yoeox/pytorch/yoeo.pth"
 # Download weights for vanilla YOLOv3
 wget -c "https://pjreddie.com/media/files/yolov3.weights" --header "Referer: pjreddie.com"
 # # Download weights for tiny YOLOv3

From 1071191b4302d8bd1ff5c8000d5ff965ec17193b Mon Sep 17 00:00:00 2001
From: Florian Vahl <7vahl@informatik.uni-hamburg.de>
Date: Sat, 13 Aug 2022 21:31:08 +0200
Subject: [PATCH 2/2] Create yoeox.cfg

---
 config/yoeox.cfg | 337 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 337 insertions(+)
 create mode 100644 config/yoeox.cfg

diff --git a/config/yoeox.cfg b/config/yoeox.cfg
new file mode 100644
index 0000000..5561f16
--- /dev/null
+++ b/config/yoeox.cfg
@@ -0,0 +1,337 @@
+[net]
+# Testing
+#batch=1
+#subdivisions=1
+# Training
+batch=64
+subdivisions=8
+width=416
+height=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+optimizer=sgd
+learning_rate=0.01
+burn_in=100
+max_batches = 4000
+policy=steps
+steps=50000,60000
+scales=.1,.1
+
+####
+# Like YOEO rev 2 but with deeper skip connections
+####
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers=-1
+groups=2
+group_id=1
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -6,-1
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+###########
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=7
+activation=linear
+
+[yolo]
+mask = 0
+anchors = 100, 100
+classes=2
+num=1
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 24
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=7
+activation=linear
+
+[yolo]
+mask = 0
+anchors = 100, 100
+classes=2
+num=1
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = 18
+
+[upsample]
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1, 10
+
+[upsample]
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1, 2
+
+[upsample]
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1, 0
+
+[upsample]
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=3
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[seg]
+classes=3