#Amazon Picking Challenge
The eblearn package is in uts_recogniser/externals/. The installation instruction is here. Both eblearn core and tools are required to be installed. EBlearn does NOT provide default link file. If EBlearn is installed correct to /usr/include and /usr/lib, eblearn.pc is able to find EBlearn on your PC.
Please check the EBlearn is installed and tested successfully before compling the updated uts_recogniser.
.../bin/eblearn_test ../data/eblearn/images/kong_duck_dog_toy.bmp ../data/eblearn/ kygen_squeakin_eggs_plush_puppies kong_duck_dog_toy
Normally, I am more used to run ros package directly using binray file instead of rosrun <package name> <binary name>.
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Test Kernel Descriptor at first:
../bin/kd_test ../data/201504174639/xtion_rgb_1.png ../data/201504174639/bin_A_empty.png ../data/201504174639/mask_xtion_rgb_bin_A.png feline_greenies_dental_treats mead_index_cards expo_dry_erase_board_eraser kong_duck_dog_toy -
Test offline recogniser:
../bin/offline_recogniser -j ../data/201504171107.json -mask ../data/201504174639/ -method ../data/method.txt -kd ../data/kd_models/../bin/pseudo_request -d ../data/201504174639/ -n 12 -j ../data/201504171107.json
Object recognition status:
* R = Recognisable, correct
* NR = Not Recognisable, will be recognised using Machine Learning
* NA = Not available, cannot be purchased in Australia
* O = Ordered, no available yet
| Object name | Status |
|---|---|
| oreo_mega_stuf | NA |
| champion_copper_plus_spark_plug | R |
| expo_dry_erase_board_eraser | R |
| genuine_joe_plastic_stir_sticks | R |
| munchkin_white_hot_duck_bath_toy | NR |
| crayola_64_ct | R |
| mommys_helper_outlet_plugs | NR |
| sharpie_accent_tank_style_highlighters | NR/R1 |
| stanley_66_052 | NR |
| safety_works_safety_glasses | NR |
| cheezit_big_original | R |
| paper_mate_12_count_mirado_black_warrior | R |
| feline_greenies_dental_treats | R2 |
| elmers_washable_no_run_school_glue | R3 |
| mead_index_cards | R |
| rolodex_jumbo_pencil_cup | NR |
| first_years_take_and_toss_straw_cup | NR |
| highland_6539_self_stick_notes | R |
| mark_twain_huckleberry_finn | R |
| kyjen_squeakin_eggs_plush_puppies | NR |
| kong_sitting_frog_dog_toy | NR |
| kong_air_god_squeakair_tennis_ball | NR |
| dr_browns_bottle_brush | NR/R4 |
| kong_duck_dog_toy | NR |
| laugh_out_loud_joke_book | R |
Detailed explanations:
1. *sharpie_accent_tank_style_highlighters* can be recognised only using the front view, using the label in the front.
2. *feline_greenies_dental_treats* is non-rigid, however, this item can be recognised only if we don't bend the item too much. **model updated**
3. *elmers_washable_no_run_school_glue* can be recognised, the model will be updated lated this week. **model updated**
4. *dr_browns_bottle_brush* can roughly recognised using the texture on the paper board