added all basic flow

README.md

@@ -19,8 +19,8 @@ We provide a fast optimization algorithm and a step-to-step guide on how to gene
 ### Demos
 The following demos use pre-generated datasets and topologies that can be found in:
 
-- [~/optimization_algo/topologies](~/optimization_algo/topologies/) contains all the topologies descriping their respective CNN structures
-- [~/optimization_algo/data_source](~/optimization_algo/data_source/) contains all the cycle-accurate data generated using [SCALE sim]()
+- [topologies](~/optimization_algo/topologies/) contains all the topologies descriping their respective CNN structures
+- [data_source](~/optimization_algo/data_source/) contains all the cycle-accurate data generated using [SCALE sim]()
 
 The instruction below will do a sweep run on each of the following networks:
    - FasterRCNN
@@ -41,24 +41,26 @@ To get optimization result with
     # ./sweep_nets_cma.sh
     ```
 
-1. Genetic Algorithm (GA)
+2. Genetic Algorithm (GA)
     ```bash
     # cd optimization_algo/scripts
     # ./sweep_nets_ga.sh
     ```
 
-1. CMA
+3. Hyperparameter Optimiztion
     ```bash
     # cd optimization_algo/scripts
-    # ./sweep_nets_cma.sh
+    # ./sweep_nets_ho.sh
     ```
 
-2. Brute Force
+4. Brute Force
     ```bash
     # cd optimization_algo/scripts
     # ./sweep_nets_brute.sh
     ```
 
+Result of the optimization will be added to the corresponding csv file under this [folder](../optimization_algo/resulting_csv)
+
 #### Custom topologies
 #### Custom target board