Updated readme

Signed-off-by: bamsumit <[email protected]>

README.md

@@ -146,6 +146,8 @@ $ pip install lava-dl-0.2.0.tar.gz
 * [MNIST digit classification](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/bootstrap/mnist/train.ipynb)
 * [NMNIST digit classification](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/nmnist/train.ipynb)
 * [PilotNet steering angle prediction](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/pilotnet/train.ipynb)
+* [Video object detection with sigma-detla YOLO](https://github.com/lava-nc/lava-dl/tree/main/tutorials/lava/lib/dl/slayer/tiny_yolo_sdnn)
+    * [Inference on GPU](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/tiny_yolo_sdnn/inference.ipynb)
 
 **Deep dive training tutorials**
 * [Dynamics and Neurons](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/neuron_dynamics/dynamics.ipynb)

src/lava/lib/dl/netx/README.md

@@ -54,3 +54,12 @@ conv   : {shape, type, neuron, inChannels, outChannels, kernelSize, stride,
                         |-> this is the description of the compartment parameters
                         |-> {iDecay, vDecay, vThMant, refDelay, ... (other additional params)}
 ```
+
+## Tutorials
+
+**NetX inference tutorials**
+* [Oxford Inference](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/netx/oxford/run.ipynb)
+* [PilotNet LIF Inference](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/netx/pilotnet_snn/run.ipynb)
+* [PilotNet LIF Benchmarking](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/netx/pilotnet_snn/benchmark.ipynb)
+* [PilotNet SDNN Inference](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/netx/pilotnet_sdnn/run.ipynb)
+* [PilotNet SDNN Benchmarking](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/netx/pilotnet_sdnn/benchmark.ipynb)

src/lava/lib/dl/slayer/README.md

@@ -21,8 +21,11 @@
 
 **End to End**
 * [Oxford spike train regression](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/oxford/train.ipynb)
+* [XOR regression](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/xor_regression/xor_regression.ipynb)
 * [NMNIST digit classification](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/nmnist/train.ipynb)
 * [PilotNet steering angle prediction](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/pilotnet/train.ipynb)
+* [Video object detection with sigma-detla YOLO](https://github.com/lava-nc/lava-dl/tree/main/tutorials/lava/lib/dl/slayer/tiny_yolo_sdnn)
+    * [Inference on GPU](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/tiny_yolo_sdnn/inference.ipynb)
 
 **Deep Dive**
 * [Dynamics and Neurons](https://github.com/lava-nc/lava-dl/blob/main/tutorials/lava/lib/dl/slayer/neuron_dynamics/dynamics.ipynb)

tutorials/lava/lib/dl/slayer/tiny_yolo_sdnn/Trained_yolo_kp/args.txt

@@ -16,6 +16,7 @@ lambda_obj : 1.8
 load : slayer
 lr : 0.0001
 lrf : 0.01
+model: yolo_kp
 num_workers : 12
 output_dir : .
 path : data/bdd100k