fixed links

README.md

@@ -40,7 +40,7 @@ See `luxonis_train --help` for more information.
 
 The entire configuration is specified in a `yaml` file. This includes the model
 structure, used losses, metrics, optimizers etc. For specific instructions and example
-configuration files, see [Configuration](./configs/README.md).
+configuration files, see [Configuration](https://github.com/luxonis/luxonis-train/blob/main/configs/README.md).
 
 ## Training
 
@@ -61,40 +61,47 @@ where key and value are space separated and sub-keys are dot (`.`) separated. If
 ## Tuning
 
 To improve training performance you can use `Tuner` for hyperparameter optimization.
-To use tuning, you have to specify [tuner](configs/README.md#tuner) section in the config file.
+To use tuning, you have to specify [tuner](https://github.com/luxonis/luxonis-train/blob/main/configs/README.md#tuner) section in the config file.
 
 To start the tuning, run
 
 ```bash
 luxonis_train tune --config config.yaml
 ```
 
-You can see an example tuning configuration [here](configs/example_tuning.yaml).
+You can see an example tuning configuration [here](https://github.com/luxonis/luxonis-train/blob/main/configs/example_tuning.yaml).
 
 ## Exporting
 
 We support export to `ONNX`, and `DepthAI .blob format` which is used for OAK cameras. By default, we export to `ONNX` format.
 
-To use the exporter, you have to specify the [exporter](configs/README.md#exporter) section in the config file.
+To use the exporter, you have to specify the [exporter](https://github.com/luxonis/luxonis-train/blob/main/configs/README.md#exporter) section in the config file.
 
 Once you have the config file ready you can export the model using
 
 ```bash
 luxonis_train export --config config.yaml
 ```
 
-You can see an example export configuration [here](configs/example_export.yaml).
+You can see an example export configuration [here](https://github.com/luxonis/luxonis-train/blob/main/configs/example_export.yaml).
 
 ## Customizations
 
-We provide a registry interface through which you can create new [nodes](src/luxonis_train/nodes/README.md), [losses](src/luxonis_train/attached_modules/losses/README.md), [metrics](src/luxonis_train/attached_modules/metrics/README.md), [visualizers](src/luxonis_train/attached_modules/visualizers/README.md), [callbacks](src/luxonis_train/callbacks/README.md), [optimizers](configs/README.md#optimizer), and [schedulers](configs/README.md#scheduler).
+We provide a registry interface through which you can create new
+[nodes](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/nodes/README.md),
+[losses](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/attached_modules/losses/README.md),
+[metrics](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/attached_modules/metrics/README.md),
+[visualizers](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/attached_modules/visualizers/README.md),
+[callbacks](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/callbacks/README.md),
+[optimizers](https://github.com/luxonis/luxonis-train/blob/main/configs/README.md#optimizer),
+and [schedulers](https://github.com/luxonis/luxonis-train/blob/main/configs/README.md#scheduler).
 
 Registered components can be then referenced in the config file. Custom components need to inherit from their respective base classes:
 
-- Node - [BaseNode](src/luxonis_train/models/nodes/base_node.py)
-- Loss - [BaseLoss](src/luxonis_train/attached_modules/losses/base_loss.py)
-- Metric - [BaseMetric](src/luxonis_train/attached_modules/metrics/base_metric.py)
-- Visualizer - [BaseVisualizer](src/luxonis_train/attached_modules/visualizers/base_visualizer.py)
+- Node - [BaseNode](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/models/nodes/base_node.py)
+- Loss - [BaseLoss](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/attached_modules/losses/base_loss.py)
+- Metric - [BaseMetric](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/attached_modules/metrics/base_metric.py)
+- Visualizer - [BaseVisualizer](https://github.com/luxonis/luxonis-train/blob/main/luxonis_train/attached_modules/visualizers/base_visualizer.py)
 - Callback - [Callback from lightning.pytorch.callbacks](lightning.pytorch.callbacks)
 - Optimizer - [Optimizer from torch.optim](https://pytorch.org/docs/stable/optim.html#torch.optim.Optimizer)
 - Scheduler - [LRScheduler from torch.optim.lr_scheduler](https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate)
@@ -140,7 +147,7 @@ You have these options how to set up the environment variables:
 
 - Using standard environment variables
 - Specifying the variables in a `.env` file. If a variable is both in the environment and present in `.env` file, the exported variable takes precedense.
-- Specifying the variables in the [ENVIRON](configs/README.md#environ) section of the config file. Note that this is not a recommended way. Variables defined in config take precedense over environment and `.env` variables.
+- Specifying the variables in the [ENVIRON](https://github.com/luxonis/luxonis-train/blob/main/configs/README.md#environ) section of the config file. Note that this is not a recommended way. Variables defined in config take precedense over environment and `.env` variables.
 
 ### S3
 
@@ -186,4 +193,4 @@ If you want to contribute to the development, install the dev version of the pac
 pip install luxonis-train[dev]
 ```
 
-Consult the [Contribution guide](CONTRIBUTING.md) before making a pull request.
+Consult the [Contribution guide](https://github.com/luxonis/luxonis-train/blob/main/CONTRIBUTING.md) before making a pull request.

configs/README.md

@@ -58,7 +58,7 @@ This is the most important block, that **must be always defined by the user**. T
 
 ### Nodes
 
-For list of all nodes, see [nodes](src/luxonis_train/nodes/README.md).
+For list of all nodes, see [nodes](../luxonis_train/nodes/README.md).
 
 | Key           | Type | Default value | Description                                                                                          |
 | ------------- | ---- | ------------- | ---------------------------------------------------------------------------------------------------- |
@@ -82,7 +82,7 @@ Modules that are attached to a node. This include losses, metrics and visualzier
 #### Losses
 
 At least one node must have a loss attached to it.
-You can see the list of all currently supported loss functions and their parameters [here](./src/luxonis_train/attached_modules/losses/README.md).
+You can see the list of all currently supported loss functions and their parameters [here](../luxonis_train/attached_modules/losses/README.md).
 
 | Key    | Type  | Default value | Description                              |
 | ------ | ----- | ------------- | ---------------------------------------- |
@@ -91,7 +91,7 @@ You can see the list of all currently supported loss functions and their paramet
 #### Metrics
 
 In this section, you configure which metrics should be used for which node.
-You can see the list of all currently supported metrics and their parameters [here](./src/luxonis_train/attached_modules/metrics/README.md).
+You can see the list of all currently supported metrics and their parameters [here](../luxonis_train/attached_modules/metrics/README.md).
 
 | Key            | Type | Default value | Description                                                                             |
 | -------------- | ---- | ------------- | --------------------------------------------------------------------------------------- |
@@ -100,7 +100,7 @@ You can see the list of all currently supported metrics and their parameters [he
 #### Visualizers
 
 In this section, you configure which visualizers should be used for which node. Visualizers are responsible for creating images during training.
-You can see the list of all currently supported visualizers and their parameters [here](./src/luxonis_train/attached_modules/visualizers/README.md).
+You can see the list of all currently supported visualizers and their parameters [here](../luxonis_train/attached_modules/visualizers/README.md).
 
 Visualizers have no specific configuration.
 
@@ -195,7 +195,7 @@ List of all optimizers can be found [here](https://pytorch.org/docs/stable/optim
 ### Callbacks
 
 Callbacks sections contains a list of callbacks.
-More information on callbacks and a list of available ones can be found [here](src/luxonis_train/callbacks/README.md)
+More information on callbacks and a list of available ones can be found [here](../luxonis_train/callbacks/README.md)
 Each callback is a dictionary with the following fields:
 
 | Key    | Type | Default value | Description                 |

luxonis_train/attached_modules/visualizers/README.md

@@ -25,7 +25,7 @@ Visualizer for bounding boxes.
 
 **Example**
 
-![bbox_viz_example](../../../../media/example_viz/bbox.png)
+![bbox_viz_example](https://github.com/luxonis/luxonis-train/blob/main/media/example_viz/bbox.png)
 
 ## KeypointVisualizer
 
@@ -40,7 +40,7 @@ Visualizer for bounding boxes.
 
 **Example**
 
-![kpt_viz_example](../../../../media/example_viz/kpts.png)
+![kpt_viz_example](https://github.com/luxonis/luxonis-train/blob/main/media/example_viz/kpts.png)
 
 ## SegmentationVisualizer
 
@@ -53,7 +53,7 @@ Visualizer for bounding boxes.
 
 **Example**
 
-![seg_viz_example](../../../../media/example_viz/segmentation.png)
+![seg_viz_example](https://github.com/luxonis/luxonis-train/blob/main/media/example_viz/segmentation.png)
 
 ## ClassificationVisualizer
 
@@ -68,7 +68,7 @@ Visualizer for bounding boxes.
 
 **Example**
 
-![class_viz_example](../../../../media/example_viz/class.png)
+![class_viz_example](https://github.com/luxonis/luxonis-train/blob/main/media/example_viz/class.png)
 
 ## MultiVisualizer
 
@@ -84,4 +84,4 @@ Special type of meta-visualizer that combines several visualizers into one. The
 
 Example of combining [KeypointVisualizer](#keypointvisualizer) and [BBoxVisualizer](#bboxvisualizer).
 
-![multi_viz_example](../../../../media/example_viz/multi.png)
+![multi_viz_example](https://github.com/luxonis/luxonis-train/blob/main/media/example_viz/multi.png)

luxonis_train/callbacks/README.md

@@ -19,7 +19,7 @@ List of supported callbacks from `lightning.pytorch`.
 - [ LearningRateMonitor ](https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.LearningRateMonitor.html#lightning.pytorch.callbacks.LearningRateMonitor)
 - [ ModelCheckpoint ](https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.ModelCheckpoint.html#lightning.pytorch.callbacks.ModelCheckpoint)
 - [ RichModelSummary ](https://lightning.ai/docs/pytorch/stable/api/lightning.pytorch.callbacks.RichModelSummary.html#lightning.pytorch.callbacks.RichModelSummary)
-  - Added automatically if `use_rich_text` is set to `True` in [config](../../../configs/README.md#topleveloptions).
+  - Added automatically if `use_rich_text` is set to `True` in [config](../../configs/README.md#topleveloptions).
 
 ## ExportOnTrainEnd
 
@@ -34,7 +34,7 @@ Performs export on train end with best weights according to the validation loss.
 ## LuxonisProgressBar
 
 Custom rich text progress bar based on RichProgressBar from Pytorch Lightning.
-Added automatically if `use_rich_text` is set to `True` in [config](../../../configs/README.md#topleveloptions).
+Added automatically if `use_rich_text` is set to `True` in [config](../../configs/README.md#topleveloptions).
 
 ## MetadataLogger