def generate_output():
# Load JSON
f = open('competition/test_cases.json')
test_cases = json.load(f)
myCashier = Cashier()
userID = '5ea023be-b530-4816-8eda-5340cfabe9b0'
output_paths = []
for test_db in test_cases:
print(test_db['name'])
dbName = test_db['name']
dbId = test_db['uuid']
receipts = myCashier.process(dbName)
# Generate output file
path = "outputs/output-{}.json".format(dbName)
output_paths.append(path)
output_json(dbId, userID, receipts, path=path)
return output_paths
def evaluate_intenvory(dbs, gt_path):
# Load JSON groundtruth
with open(gt_path) as f:
gt_data = json.load(f)
gt_list = gt_data['lists']
if not DEBUG:
remove_putback_products(gt_list)
# with open('gt_final.json', 'w') as outfile:
# json.dump(gt_data, outfile)
# Metrics
tp, fp, tn, fn = 0, 0, 0, 0
overall_num_preds, overall_num_gt = 0, 0
for i in range(len(dbs)):
print("\n\nEvaluating database: ", dbs[i])
# Metrics per database
db_tp, db_fp, db_tn, db_fn = 0, 0, 0, 0
db_pred_counts, db_gt_counts = 0, 0
########## Generate Prediction ##########
dbName = dbs[i]
myCashier = Cashier()
receipts = myCashier.process(dbName)
########## Evaluate Ground truth ##########
gt_entry = gt_list[i]
# Find groundtruth entry for this database
tmp_i = 0
while (gt_entry['dataset'] != dbName):
tmp_i += 1
gt_entry = gt_list[tmp_i]
assert (tmp_i < len(gt_list))
assert (gt_entry['dataset'] == dbName)
event_list = gt_entry['events']
for event in event_list:
gt_products = event['observation']['products']
gt_customerID = event['observation']['target_id']
# Find the corresponding customer receipts
if (gt_customerID in receipts):
# Find the corresponding products on the receipt
customer_receipt = receipts[gt_customerID]
for gt_product in gt_products:
gt_productID = gt_product['id']
for productID, entry in customer_receipt.purchaseList.items(
):
if (gt_productID == productID):
product, quantity = entry
if (quantity > 0):
db_tp += 1
customer_receipt.purchaseList[productID] = (
product, quantity - 1
) # entry = (product, quantity)
db_gt_counts += 1
else:
# No such customer
for gt_product in gt_products:
db_gt_counts += 1
# Print False Items
num_receipt = 0
for id, customer_receipt in receipts.items():
if VERBOSE:
print("============== False Receipt {} ==============".format(
num_receipt))
print("Customer ID: " + id)
print("Purchase List: ")
for _, entry in customer_receipt.purchaseList.items():
product, quantity = entry
if quantity != 0:
if VERBOSE:
print(
"*Name: " + product.name + ", Quantities: " +
str(quantity), product.thumbnail)
db_fp += quantity
num_receipt += 1
db_fn = db_gt_counts - db_tp
db_pred_counts = db_tp + db_fp
overall_num_preds += db_pred_counts
overall_num_gt += db_gt_counts
tp += db_tp
fp += db_fp
fn += db_fn
# Display DB Evaluation
print(
"Database: {}, Correct Items on Receipts: {}/{}, Total GT items: {}"
.format(dbName, db_tp, db_pred_counts, db_gt_counts))
print("\n================== Evaluation Summary ==================")
print("Databases: ", dbs)
print("Ground truth version: ", gt_path)
precision = 0.0 if tp + fp == 0 else tp * 100.0 / (tp + fp)
print("Overall precision is: {:.1f}%".format(precision))
recall = 0.0 if tp + fn == 0 else tp * 100.0 / (tp + fn)
print("Overall recall is: {:.1f}%".format(recall))
if (precision + recall == 0):
f1 = 0
else:
f1 = 2 * precision * recall / (precision + recall)
print("Overall F1 is: {:.1f}%".format(f1))
