Add DANet and FastSCNN

add training bash and log for danet and fastscnn

Author: bryanyzhu

gluoncv/logs/segmentation/danet_resnet101_citys.sh

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+#!/usr/bin/env bash
+
+# cmd for training
+CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python ./scripts/segmentation/train.py \
+    --dataset citys \
+    --model danet \
+    --backbone resnet101 \
+    --syncbn \
+    --ngpus 8 \
+    --lr 0.01 \
+    --epochs 240 \
+    --base-size 2048 \
+    --crop-size 768 \
+    --workers 32 \
+
+# cmd for evaluation
+CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python ./scripts/segmentation/test.py \
+    --model-zoo danet_resnet101_citys \
+    --dataset citys \
+    --batch-size 8 \
+    --ngpus 8 \
+    --eval \
+    --pretrained \
+    --base-size 2048 \
+    --crop-size 768

gluoncv/logs/segmentation/danet_resnet50_citys.sh

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+#!/usr/bin/env bash
+
+# cmd for training
+CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python ./scripts/segmentation/train.py \
+	--dataset citys \
+	--model danet \
+	--backbone resnet50 \
+	--syncbn \
+	--ngpus 8 \
+	--lr 0.01 \
+	--epochs 240 \
+	--base-size 2048 \
+	--crop-size 768 \
+	--workers 32 \
+
+# cmd for evaluation
+CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python ./scripts/segmentation/test.py \
+	--model-zoo danet_resnet50_citys \
+	--dataset citys \
+	--batch-size 8 \
+	--ngpus 8 \
+	--eval \
+	--pretrained \
+	--base-size 2048 \
+	--crop-size 768