{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Preface","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"As we know that the following competition is based on predicting the future motions of the traffic agents based on the input received from the **Perception Task**. Basically this is the task of **Motion Forecasting**. Don't worry if these terms are not clear to you right now. I hope after reading this notebook, they won't be so much abstract.\n\nThis Notebook will follow the below mentioned topics sequentially and by the end, you would surely be having enough knowledge to proceed further with your approach for this scenario.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"# Contents\n\n1. [Understanding the concepts](#1)\n2. [Understanding Data](#2)\n3. [Sample Model structure](#3)\n4. [References](#4)","execution_count":null},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# Imports\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom typing import Dict\n\n\nimport torch\nfrom torch import nn, optim\nfrom torch.utils.data import DataLoader\nfrom torchvision.models.resnet import resnet50\nfrom tqdm import tqdm\n\nfrom l5kit.configs import load_config_data\nfrom l5kit.data import LocalDataManager, ChunkedDataset\nfrom l5kit.dataset import AgentDataset, EgoDataset\nfrom l5kit.rasterization import build_rasterizer\nfrom l5kit.evaluation import write_pred_csv, compute_metrics_csv, read_gt_csv, create_chopped_dataset\nfrom l5kit.evaluation.metrics import neg_multi_log_likelihood, time_displace\nfrom l5kit.geometry import transform_points\nfrom l5kit.visualization import PREDICTED_POINTS_COLOR, TARGET_POINTS_COLOR, draw_trajectory\nfrom prettytable import PrettyTable\nfrom pathlib import Path\n\nimport os","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"os.environ[\"L5KIT_DATA_FOLDER\"] = \"../input/lyft-motion-prediction-autonomous-vehicles\"","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# UTILITY FUNCTIONS\n\ndef visualize_image(ds, idx, axis=None):\n    data = ds[idx]\n    im = data[\"image\"].transpose(1, 2, 0)\n    im = ds.rasterizer.to_rgb(im)\n    if axis:\n        axis.imshow(im[::-1])\n    else:\n        plt.imshow(im[::-1])\n\ndef build_model(cfg: Dict) -> torch.nn.Module:\n    # Backbone model\n    model = resnet50(pretrained=True)\n    \n    num_history_channels = (cfg[\"model_params\"][\"history_num_frames\"] + 1) * 2\n    \n    # Getting input channels for first layer of the model.\n    num_in_channels = 3 + num_history_channels\n    \n    # Getting the number of targets.\n    num_targets = 2*cfg[\"model_params\"][\"future_num_frames\"]\n    \n    # Adjusting the first layer for the number of input channels.\n    model.conv1 = nn.Conv2d(\n        num_in_channels,\n        model.conv1.out_channels,\n        kernel_size=model.conv1.kernel_size,\n        stride=model.conv1.stride,\n        padding=model.conv1.padding,\n        bias=False\n    )\n    \n    # Adjusting the final layer for the number of targets.\n    model.fc = nn.Linear(in_features=2048, out_features=num_targets)\n    return model\n\ndef forward(data, model, device, criterion):\n    inputs = data[\"image\"].to(device)\n    targets = data[\"target_positions\"].to(device)\n    target_availabilities = data[\"target_availabilities\"].unsqueeze(-1).to(device)\n    \n    outputs = model(inputs).reshape(targets.shape).to(device)\n    \n    loss = torch.sqrt(criterion(outputs, targets))\n    loss = loss * target_availabilities\n    loss = loss.mean()\n    return loss, outputs","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"1\"></a>\n# 1. Understanding the concepts ","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"We would not dive into the very depth of the concepts but a high level knowledge of the things would be enough to proceed in the competition. After this notebook you would have a clear view of whether you should focus in the domain of self driving or not.\n\nLet's just get started-\n\n- **When to say vehicle is self driving:** We can say that a vehicle is self driving when it requires minimum human intervention while driving. If a vehicle is able to take up the essential decisions of driving task such as driving along a route, stopping on encountering an obstacle (OEDR), estimating the type of movement and type objects and responding accordingly etc.\n\n                                        \n- **Ego Vehicle:** The vehicle on which self automation is to be achieved. The word **Ego** denotes a notion of **self**.\n\n\n- **Traffic Agents:** Surrounding objects on the road other than the ego vehicle. These include pedestrians, other vehicles, cyclists etc.\n\n\n- **Ego Localization:** Apart from estimating the position of the surroundings, it is also required that we calculate the position of ego vehicle for calculating its velocity, angular motion, acceleration etc.\n\n\n- **Sensors:** Sensors are the devices that measures or detects a property of the environment or the changes in it. Basically there are two types of sensors used for self driving tasks viz **Exteroceptive** and **Proprioceptive** sensors. Let's just discuss these two sensors-\n         \n    - A. **Exteroceptive Sensors:** The sensors which are responsible for capturing the information of the environment around the ego vehicle. Information about the traffic agents and other static and dynamic objects are captured through these sensors.\n    \n    - B. **Proprioceptive Sensors:** The sensors which are responsible for ego localization or which records the properties of ego vehicle. These sensors help in determining the position, velocity, acceleration, angular motion etc of the ego vehicle.\n    \n    Let's just take some examples of Exteroceptive and Proprioceptive sensors. (Aa, Ba- First index of Exteroceptive and Proprioceptive sensors respectively)\n    \n    - Aa. **Lidars:** Lidar stands for Light Detection and Ranging. As the name suggests these sensors emit light and the time of reflection of the light from surrounding objects is used to calculate the distance of ego vehicle from those objects. \n    > Output from the Lidar(s) is used to create a \"Localization map\".\n    \n    - Ab. **Radars:** Radar stands for Radio Detection and Ranging. These sensors use radio signals to calculate the distance of ego vehicle from the surrounding objects.\n    \n    - Ba. **GNSS:** GNSS stands for Global Navigation Satellite System. These are used for calculating the position of any vehicle. GPS is one of the class of GNSS.\n    \n    - Bb. **IMU:** IMU stands for Intertial Measurment Unit. These sensors are responsible for calculating the  acceleration and velocity of the vehicle or in other words, the \"longitudnal motion\" of the vehicle.\n  \n    Other class of sensors are SONARS(A), WHEEL ODOMETRY(B) etc.\n\n\n- **Lateral Control:** Lateral control corresponds to the control of vehicle over its angular motion like changing lane, taking turn etc. This motion deals with controlling the steering of the vehicle.\n\n\n- **Longitudnal Control:** Longitudnal control corresponds to the control of vehicle over its velocity, acceleration, braking etc.\n\n\n- **OEDR:** OEDR stands for Object and Event Detection and Response. It corresponds to the immediate actions taken by the vehicles such as applying brake on encountering a sudden obstacle or handling of overtaking by other vehicles.\n\n\n- **ACC:** ACC stands for Adaptive Cruise Control. It is a system for controlling longitudnal speeds and widely used in Level-2 vehicles(see below).\n\n\n- **FMEA:** FMEA stands for Failure mode and effects analysis. It is a bottom up approach to detect failures in subsystems and their impact on higher levels.\n\n\n- **ODD:** ODD stands for Operational Design Domain. These are the set of conditions under which a particular system is designed to funtion.\n\n\n- **Perception task:** Understanding and estimating the future of objects around the ego vehicle is referred to as perception task.\n\n\n- **Motion Forecasting:** From the view of perception task, motion forecasting is the predicting of future motion of the traffic agents.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"markdown","source":"**Now that we have looked over some of the basic definitions under self driving domain, lets understand what does Level-5 mean in this competition. Basically Level-5 corresponds to the fifth level of automation. So a genuine question would be: What are the levels of automation?**\n\nThe answer is fairly simple, the increasing capability of automation offered by vehicles is being classified in different levels of automation. Let's just look at these different levels- \n\n- **Level-0 automation:** At this level, no automation is expected from the vehicle.\n\n\n- **Level-1 automation:** This level of automation basically comes with a driver assistance in which the machine assists the drive to take actions such as taking the best route, steering or accelerating etc. As discussed above, ACC is commonly used at this level.\n\n\n- **Level-2 automation:** This level of automation is slightly improved from the previous one with an addition of lateral and longitudnal controls by the vehicle. It is also known as [advance drive assistance system](https://www.synopsys.com/automotive/what-is-adas.html)  \n\n\n- **Level-3 automation:** This level includes all the functionalities of level 2 with an addition that these vehicles gain the ability to sense the surrounding environment but upto a limited extent. In most cases the vehicle is automatically able to tackle the situation but in some of the cases it just alerts the driver and the driver has to take appropriate actions.\n\n\n- **Level-4 automation:** This level comes gets improvement from level 3 from the perspective of sensing its surroundings better but still is limited to some edge cases. It has a limited ODD meaning that it can work in most of the cases but a handful of cases are out of reach for it. The system can handle itself if things go wrong or any type of failure occurs.\n\n\n- **Level-5 automation:** This level enjoys superiority over all the levels with an unlimited ODD meaning that vehicle would be able to handle each and every possible condition. It would not need any human intervention to while driving.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"markdown","source":"Okk, so now we are having a good amount of knowledge about the terms and definitions in the self driving domain. Let us now look over the **Self Driving Stack** which is usually implemented to accomplish a complete self driving task.\n\nA typical software stack would look something like-\n\n\n![Software_Stack.png](attachment:Software_Stack.png)\n> Image from Coursera's Self Driving course [here](https://www.coursera.org/learn/intro-self-driving-cars/lecture/RQCqM/lesson-3-software-architecture).\n\nLet's just understand these sections in short.\n\n- **Sensors Output:** The data collected by the different sensors attached to the AV(autonomous vehicle).\n\n\n- **Environmental Perception:** In this module the AV uses the sensors' output to localize itself and understand the area around it (not only the road).\n\n\n- **Environmental Mapping:** This module creates a set of maps to localize the objects in the environment around ego vehicle. This module and the previous one interacts heavily to achieve a great efficiency in the perception task.\n\n\n- **Motion Planning:** On the basis of outputs recieved by `Environmental Perception` and `Environmental Mapping` modules, this module plans the motion of the AV. This motion planning is categorized in three layers of abstraction-\n    \n    - a. **Mission Planner:** It plans the Long term goal of the AV i.e the route to the destination where it has to go.\n    \n    - b. **Behavioural Planner:** It plans the Short term goal of the AV i.e given certain conditions and parameters, it decides what to do for a short span of time. For example if the ego velocity is some **x** per square meters and there is a truck ahead of it then plans how to action with this given data (either change a lane or slow speed).\n    \n    - c. **Local Planner:** It plans the immediate actions to take by the AV and draws a planned trajectory and velocity profile that the AV should follow for a short period of time.\n    \n    Consider these layers as zooming into the scenerio from outside. Driving from point A to point B is handled by the `Mission Planner`, actions taken on a particular path such as whether to change the lane or whether to speed up/slow down etc are handled by the Behavioral Planner and finally the immediate actions such as planning the specific trajectory followed by AV for short period of time is handled by Local Planner.\n    \n\n- **Controller:** This module controls the AV according to the data recieved from the `Motion Planner`. It basically consists of **velocity controller** and **steering controller** which controls longitudnal and lateral motion of the AV respectively.\n\n\n- **System Supervisor:** This module acts as a supervisor which manages and alerts about the failures in the system. It supervises the hardware and software components seperately.  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"}},"execution_count":null},{"metadata":{},"cell_type":"markdown","source":"<a id=\"2\"></a>\n# 2. Understanding the Data","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"- **Please have a look [this](https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/178781) discussion thread in which I've posted my analysis about the white paper explaning the structure and components of the dataset.**","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"![Dataset_diag_new.jpg](attachment:Dataset_diag_new.jpg)","attachments":{"Dataset_diag_new.jpg":{"image/jpeg":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCAFVApUDASIAAhEBAxEB/8QAHQABAQEAAwEBAQEAAAAAAAAAAAUHBAYIAwIBCf/EAGgQAAAGAQIBBQkHDQkMBQwDAAABAgMEBQYHERIIExQhMRUWF0FWlJXR0yJRVVh0k9UjMjU2N2Fxd4GztLbjQkViZnKEkaTDCRgkMzRSVGeClqLSQ2OGofAlJjhERkdTc4OFksSlwcX/xAAbAQEBAQADAQEAAAAAAAAAAAAAAwQBAgcGBf/EAD4RAQABAQIJCAcJAAMBAQAAAAABAgMRBBQhUnGRktHSBRITMVFTorEGMjNBYaGyFjQ1coGCwcLwIkLhYvH/2gAMAwEAAhEDEQA/AP8ATeNGTkaTnz1LVCUoyjRiUZIUgj25xe313FtuRH1ERl1bjkd6uMeTlX5m36gxX7WKj5BH/NpFQYrCwsrWyptLSmJqmImZmL+v/fo2W1vaWVpVZ2dUxETMRETd1JferjHk5V+Zt+oO9XGPJyr8zb9QqAK4pg+ZGqEsat8+dcpferjHk5V+Zt+oO9XGPJyr8zb9QqAGKYPmRqgxq3z51yl96uMeTlX5m36g71cY8nKvzNv1CoAYpg+ZGqDGrfPnXKX3q4x5OVfmbfqDvVxjycq/M2/UKgBimD5kaoMat8+dcpferjHk5V+Zt+oO9XGPJyr8zb9QqAGKYPmRqgxq3z51yl96uMeTlX5m36g71cY8nKvzNv1CoAYpg+ZGqDGrfPnXKJKqk0zS7ChbNk2S43IiD2aeQXWaST2JVt2GW3XtvuQrx32pTDcllXE26gloP30mW5GPp2iXi3XjFR8gj/m0jrRTFjbRRRkiYmbvdExMdWm/5aXauqbay59eWYmIv039ei5UAAGpmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAS8V+1in+QR/zaRUEvFftYp/kEf82kVBnwT7vZ/ljyXwr29emfMAB5UzrVXXOVZaoYvgCsksp9XnNFSVSMfq4D0yvrnojD8xSFS0FGI+E3dnJSuBKlpLfsIaEHqsB4myjlpRtL5Gm1jJy3KLuuvY9/TyKzJIVfDspmRR5LDDEOS9FYRHjcDinUG63sxwlxmpwuEz7Rrbyi9WsItc3p8Up4SL2jxzFJ6o063bXWxHLKfIjPGwaIPPrcSbaS43VqbMuFRNINKkuh6xAZvqjqpe6bwMMQ3h0W1uMuvYtB0VFqbLEV95pxZr55TJqW2lTe2/NpUaT3JO5cJ5rhPK2yG6u6GLmelMPH6q3trvHHp0bJOnOR7OsJ5b2zRxmiXFU2wo0vGtLnF1KZSWyjD0kA85V3K/ONV1+Y5vpyulxHJ8csMnxmfHtDlzJUaI0TympkU2G+iPLZUTiEocfR1KSpaFERK6xO5Umq+KWma5hnOCw4VXjelTecRsaiXLclt9033diVN6MhxDhtoSlaebU2k+tJudZgPWgDzRrLykMnrGr/AB7EYXcWwo1YfM7pc43J55m1nk06zzTjRpTs2lSePczPj3IkmRGPrjPLZwrJ9amNK4Kcacizb6djEVxnKWXLop8VC1LW/Vc2SmoqjaeQh7nlKNSUbtkSyMg9JAAAAl4r9rFP8gj/AJtIqCXiv2sU/wAgj/m0jPV94p/LV50r0+wq00+VSoAANCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACXiv2sU/yCP+bSKgl4r9rFP8gj/m0ioM+Cfd7P8ALHkvhXt69M+YMvstBKx+wyi7x7UHM8Yt8quod5In082OhyO/HYQwltDbrDjLjKm0bLbfbdSZmZlsZJNOoANCDEP70DSOTXV1ZdlbXLMOsuq6Z095lZ2irVSVTZMnhaT9WUpPERtc2hPEZEgiJJF/LLkk4RcQbhi2zTMZc27xukxuRZOyohyUoqn3H40pP+D82cg3HTNZqQptWxe4Lr33AAHTcm0wq8xaxDvivLaVJw62jXUaUSmG3JcpltbZG+SGiQZKJxRqJtLfXttwl1DrNZya8CrJlNMbsbt7uJktvlDLbzzKkOyrFDqX23CJot2iJ9fCRGSi2LdSuvfWAAYtRck7TWpQmttLK/yCggVEugoqG0kMnAoq+SXC+xFJlptxXEgktk5IcecQhPChaSUri+FXyScFjw7yDkeYZhlLV/iJYPITcS4xk3UpUs222yYYbIloJw0k4olKURFxmsy3G4AAwxHJHw99m174M/za9mXKKNEqdOkQkvGmqkc9FJJMxW207nsleyPdEW/UozUfacb0Lp8TzeRllFmuXRayROlWp4u1OabqCnySLnpBpQ0l9w1HxK5px5bJLWaibJXCZaUAAAAACXiv2sU/yCP+bSKgl4r9rFP8gj/m0jPV94p/LV50r0+wq00+VSoAANCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACVixl3uVzW/umIyI6y95bZcCi/IpJkKolv102NJcmUz7SDfVxPR3iPm1q2+uIy60KPxnsZH72/WHSMn+CKv0i57AY7K06CiLKuJyRdkiZibvfkv+f8A612tn09c2lExly5ZiLr/AHZbvkqAJfSMn+B6v0k57AOkZP8AA9X6Sc9gKYzR2Ts1bk8Xr7Y2qd6oAh2D+bKgSU1dXSNzTZWUZcie8tpLvCfAa0pZIzTvtuRGRmW+xkOlac6sZPlc6bhmV4jW49m1K2lyxqHbRw0vMmfCmbEXzGz8Vauoll1pP3DhIWRpHOMUXX3Ts1bnGL133XxtU72ogJfSMn+B6v0k57AOkZP8D1fpJz2A4xmjsnZq3OcXr7Y2qd6oAl9Iyf4Hq/STnsA6Rk/wPV+knPYBjNHZOzVuMXr7Y2qd6oAl9Iyf4Hq/STnsA6Rk/wAD1fpJz2AYzR2Ts1bjF6+2NqneqAJfSMn+B6v0k57AOkZP8D1fpJz2AYzR2Ts1bjF6+2Nqne58qQ1DjOy31EltlCnFmfiSRbmOJjzDkWgrIzyTS4zDZbWR+IyQRGM/z3O8iw24jScyweyl4XzKXZNnQpVPOE+S1b9LjJST5sEkkq5xpCyI9+NKUp4j75jOU43mlHFyXEb6Bc1M5HORpsGQl9l1PvpWkzI/v+8YURVaWnSTF0RF0duXrn5Rd7+sr5tnZ9HE3zM3z+nV5zf7upUAAGhAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAdP1I01rNQ4MR0rCVS5BTOKk0d9B4Sl1kgy2NSNyMltrLZLjKyNtxPuVEfUZdwABl+m+qtzKyBzSrVmsjUmdw2lPMKY3KvyCIjYjmwFKMzMi3LnWFGbjKj2PiQaHV6gOs5/p5jWpFImmyJl5C47yZdfPiOmzMrZaN+bkxni623U7nsZdRkZpUSkqUk+nYjqZfYvlMPSXWhyOzfTeJGP5C00TMHJkISajSlPYxNSkjU5G32URKW1xIJSWw1cAAAAAAAAAAZjkmhdS5ey830yvZeAZZNXz0ydVtJXDs3NiLinwVfUZR7ERc4ZJfIupLqRpwAMgb1rvtPH26vlCY0zjzClE21l1WpcjHnzPsN5ai5yuPs36SXNEZkSX1mNajSY02M1MhyG32H0JdadaWSkOIUW6VJUXUZGRkZGQ/TrTT7S2H20uNuJNC0LLdKkn1GRkfaQyaXofY4VIduuT9kreHvOOG8/jkplUnHZijPdf+CkZKhrV/wDEjKQkjPiW272ANcAZbQ66w4drExDWDHntP8klrJiKma+T1VZu/wCbCsCJLbpn4mnCaf8A+q26xqQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgZxguK6j41KxLMqluwrZfCo0GpSFtOIUSm3mnEmS2nUKIlIcQZKSoiMjIy3H3kSLKzsn66uldCYhcJSJBNpW4txSSUSEEojSWyTIzMyP64iIu0x9O49h5VWnzcX2IzYxNUzzKJmIyX5Pd19cxPW0dBERHPriJnLdl9/V1RL/PnlBf3QaXyccvxzRmHqVCzKXj2Xwu711CbZkSXaFtTrcyunp4DQ3YIWSCNxnrVwbmTS+JB/6KxpMabGamQ3232H0JdadbUSkLQotyUky6jIyMjIxj2qHJF0J1nS+rUvCa65kyS2cnHXxGJqi33/AMqZZQ8XX19S+0d9xTAImE4xU4djV/cRaijhM18BhbjL6mo7SCQ2jnHW1LVslJFupRn1dZjnpq+7nw8TjoaO8jxcLtICX3HsPKq0+bi+xDuPY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diagram represents that how the data exists in different forms. Let us understand the process.\n\nWe have been provided with a python package named `l5kit` which enables us to structure raw data according to the task and train a model over it.\n> We can also structure the data and train the model without using `l5kit` module but that would require redundant and very hard work.\n\nNow the `l5kit` module has functions namely \"load_config_data\" and \"LocalDataManager\" (not following the complete heirarchy). `load_config_data` basically loads the configrations needed for the dataset and to train the model and `LocalDataManager` is basically instantiated to manage different operations related to data such as creating Dataset instance or building rasterizer. At first we take the raw `zarr files` and dm (LocalDataManager instance) and build a `ChunkedDataset` which contains 4 attributes namely `scenes`, `agents`, `tl_faces`, `frames`.\n> The details of these attributes are very well described in other notebooks. I will add a link to that in the reference section.\n\nWe use cfg (configration) and dm to build rasterizer using the `build_rasterizer` method also provided under `l5kit` module. The rasterizer is basically used to generate a map containing information of the ego vehicle and other traffic agents. This map could be one of the `semantic` or `aerial(satellite)`.\n\nAs such there is no image information present in the dataset until we rasterize it. The `ChunkedDataset` instance that we made previously, has information regarding both the traffic agents and ego vehicle. But the task for this competition is to identify the motion of traffic agents (for 50 frames in the future) and we need something to sample the dataset regarding traffic agents and thus we convert the `ChunkedDataset` instance into `AgentDataset` or `EgoDataset` instance which samples the data with a focus to traffic agents and ego vehicle respectively. As seen from the figure that we need both the `ChunkedDataset` instance and the `rasterizer` to generate the `AgentDataset` and `EgoDataset`.\n> Note that the AgentDataset and EgoDataset when instantiated, contains the information of image (map representation of the particular frame) as now the data is being rasterized. But it contains the data in the world coordinates which we need to project onto the image subspace in order to visualize it.\n\nWe would finally use the instance of `AgentDataset` to train our model. More specifically our main feature would be the data[\"image\"] and our target variable would be the data[\"target_positions\"] where data is a particular element of the instance of `AgentDataset`.\n\n\nNote that we can also adjust the size of image built with the rasterizer using the cfg[\"raster_params\"][\"raster_size\"] which defaults to **224 x 224** in size.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"**Let us now try to reach the AgentDataset or EgoDataset instance from a sample zarr file.**","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"dm = LocalDataManager()\ncfg = load_config_data(\"../input/lyft-config-files/agent_motion_config.yaml\")\nsample_zarr = dm.require(\"scenes/sample.zarr\")\nsample_chunk = ChunkedDataset(sample_zarr).open()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Let us have a look at the above discussed attributes of ChunkedDataset instance.\nprint(sample_chunk.scenes)\nprint()\nprint(sample_chunk.agents)\nprint()\nprint(sample_chunk.tl_faces)\nprint()\nprint(sample_chunk.frames)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Look at the cfg\ncfg","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Now we need basically two different type of maps viz semantic and satellite to visualize the image generated by rasterizer in different ways. For this we create two different instances of rasterizer viz `raster_sem` and `raster_sat`.  ","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# Semantic Rasterizer\ncfg[\"raster_params\"][\"map_type\"] = \"py_semantic\"\nraster_sem = build_rasterizer(cfg, dm)\n\n# Satellite Rasterizer\ncfg[\"raster_params\"][\"map_type\"] = \"py_satellite\"\nraster_sat = build_rasterizer(cfg, dm)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Now to visualize the images we need either EgoDataset or AgentDataset instance as discussed above. We would go with EgoDataset instance. We would also prepare this dataset for the two versions of rasterizer.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"cfg[\"raster_params\"][\"map_type\"] = \"py_semantic\"\nego_dataset_sem = EgoDataset(cfg, sample_chunk, raster_sem)\n\ncfg[\"raster_params\"][\"map_type\"] = \"py_satellite\"\nego_dataset_sat = EgoDataset(cfg, sample_chunk, raster_sat)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"In the similar way you could create the AgentDataset instance.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"**Let us just compare the images of satellite as well as semantic map for different frames.**","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"fig, ax = plt.subplots(2, 3, figsize=(15, 10))\nax = ax.flatten()\nfor i in range(3):\n    visualize_image(ego_dataset_sem, i+10, axis=ax[i])\n    ax[i].set_title(\"Semantic Image\")\n    \n    visualize_image(ego_dataset_sat, i+10, axis=ax[i+3])\n    ax[i+3].set_title(\"Satellite Image\")\n    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"3\"></a>\n# 3. Sample Model Structure\n\n**Congratulations if you're following the tutorial from starting as now you have the knowledge of**\n\n- self driving vehicles\n- concepts related to self driving vehicles\n- Different Levels of automation\n- Self driving Stack\n- Dataset for this competition<br>\n\nand many more...\n\nWe can now finally talk about the model that would be used to train the data that we structured in previous sections. In the following, I would create a dummy model using the `resnet50` architecture.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"## Steps of Model training","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"### Step.1 Declare the configrations\n\nThe configrations that we would use are already contained in the cfg variable but it is quite easier to work when you have all the parameters required in front of you. Hence we would declare a `cfg` dictionary containing the necessary configrations for model training.\n\nPS: Declaring LocalDataManager instance also comes under this step.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"cfg = {\n    'format_version': 4,\n \n    'model_params': {'model_architecture': 'resnet50',\n    'history_num_frames': 0,\n    'history_step_size': 1,\n    'history_delta_time': 0.1,\n    'future_num_frames': 50,\n    'future_step_size': 1,\n    'future_delta_time': 0.1},\n \n    'raster_params': {'raster_size': [224, 224],\n    'pixel_size': [0.5, 0.5],\n    'ego_center': [0.25, 0.5],\n    'map_type': 'py_semantic',\n    'satellite_map_key': 'aerial_map/aerial_map.png',\n    'semantic_map_key': 'semantic_map/semantic_map.pb',\n    'dataset_meta_key': 'meta.json',\n    'filter_agents_threshold': 0.5},\n \n    'train_data_loader': {'key': 'scenes/sample.zarr',\n    'batch_size': 12,\n    'shuffle': True,\n    'num_workers': 16},\n \n    'test_data_loader': {'key': 'scenes/test.zarr',\n    'batch_size': 8,\n    'shuffle': False,\n    'num_workers': 8},\n\n    'train_params': {'checkpoint_every_n_steps': 10000,\n    'max_num_steps': 5,\n    'eval_every_n_steps': 10000}}","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":">In the above code, I am using the `sample.zarr` file for training for illustration purpose as `train.zarr` is computationally expensive to process through training but we would use `train.zarr` file for training the model.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"### Step 2. Prepairing the Dataset\n\nNote that we need to predict traffic agents' future motion and thus creating AgentDataset. Moreover we have the `sample_chunk` dataset and hence we can move directly for creating the AgentDataset. \n\nWe would also need rasterizer to create the AgentDataset instance and we can choose anyone b/w raster_sem and raster_sat.**","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"sample_agent = AgentDataset(cfg, sample_chunk, raster_sem)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Step 3. Instantiating and training the model","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\nmodel = build_model(cfg)\ncriterion = nn.MSELoss()\noptimizer = optim.Adam(model.parameters(), lr=1e-4)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Generating Dataloader object for out sample_agent dataset\nsample_config = cfg[\"train_data_loader\"]\nsample_dataloader = DataLoader(sample_agent, batch_size=sample_config[\"batch_size\"],\n                               shuffle=sample_config[\"shuffle\"], num_workers=sample_config[\"num_workers\"])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"## TRAINING LOOP\niter_train = iter(sample_dataloader)\nprogress = tqdm(range(cfg[\"train_params\"][\"max_num_steps\"]))\n\nfor _ in progress:\n    try:\n        train_data = next(iter_train)\n    except:\n        iter_train = iter(sample_dataloader)\n        train_data = next(iter_train)\n    \n    model.train()\n    torch.set_grad_enabled(True)\n    loss, _ = forward(train_data, model, device, criterion)\n    \n    # Zeroing out gradients\n    optimizer.zero_grad()\n    \n    # Backprop\n    loss.backward()\n    \n    # Update the weights\n    optimizer.step()\n    \n    progress.set_description(f\"Loss: {loss.item()}\")","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Step 4. Inference\n\nThis step deals with computing predictions for the test dataset and preparing a submission file for it.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# Preparing Test Data\ntest_config = cfg[\"test_data_loader\"]\ntest_zarr = dm.require(\"scenes/test.zarr\")\ntest_chunk  = ChunkedDataset(test_zarr).open()\ntest_mask  = np.load(\"../input/lyft-motion-prediction-autonomous-vehicles/scenes/mask.npz\")[\"arr_0\"]\ntest_agent = AgentDataset(cfg, test_chunk, raster_sem, agents_mask = test_mask)\ntest_dataloader = DataLoader(test_agent, batch_size=test_config[\"batch_size\"], shuffle=test_config[\"shuffle\"],\n                            num_workers=test_config[\"num_workers\"])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.eval()\n\nfuture_coords = []\ntimestamps = []\ntrack_ids = []\n\nwith torch.no_grad():\n    iter_test = tqdm(test_dataloader)\n    for data in iter_test:\n        _, outputs = forward(data, model, device, criterion)\n        timestamps.append(data[\"timestamp\"])\n        track_ids.append(data[\"track_id\"])","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Finally we write our predictions to a CSV file and for this also we have multi modal and single mode submission files which allow us to either ensemble the predictions or use a prediction by single model. \n\nWe are also provided with the function `write_pred_csv` which automatically writes the predictions into the submission file.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"write_pred_csv(\"submission.csv\",\n              timestamps=np.concatenate(timestamps),\n              track_ids=np.concatenate(track_ids),\n              coords=np.concatenate(future_coords))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"4\"></a>\n\n# 4. References:\n\n- https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/178323\n- https://www.kaggle.com/nxrprime/lyft-understanding-the-data-baseline-model\n- https://www.kaggle.com/corochann/lyft-deep-into-the-l5kit-library\n- https://www.kaggle.com/corochann/lyft-comprehensive-guide-to-start-competition\n","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"**THAT'S IT FOR THIS NOTEBOOK GUYS!!!**\n\n**HOPE YOU LIKED MY WORK AND IF SO, PLEASE UPVOTE.**","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"Moreover I would also introduce a notebook for detailed model analysis using some of the dominant model architectures of the field. Till then stay tuned! Happy Coding.","execution_count":null}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}