bugfix: CLI hangs with super big dataset

[NickHerrig]

Description

Fixes roboflow-bugtracker#908

Two dictionaries were added to speed up the search for images and annotations rather than iterating through a list to find matches.

Along with that a tqdm loading bar was added to the image loop to give users feedback during the parsing of their annotation/image folder.

List any dependencies that are required for this change.

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)

How has this change been tested, please provide a testcase or example of how you tested the change?

All existing tests under tests/util/test_folderparser.py are passing after this work.
An inital stub test below was implemented to test speed improvements on the CocoNut Datset.

if you have the coconut dataset, it can be passed to the dev container with the following docker-compose.yml

version: '3'
services:
  devcontainer-roboflow-python:
    build:
      context: ..
      dockerfile: Dockerfile.dev
    image: devcontainer-roboflow-python
    volumes:
      - ..:/roboflow-python
      - {path-to-coconut-dataset}:/coconut
    command: sleep infinity

def test_parse_coconut(self):
        folder = "/coconut/images/COCONut-S/"
        parsed = folderparser.parsefolder(folder)

Before this PR:

After this PR:

[NickHerrig]

@tonylampada ready for review.
Let me know if you have any ideas for improving this.

[tonylampada]

@NickHerrig this is looking great!
I'm making a couple more commits on top of it ok?

[tonylampada]

good job!
thanks!!